---
_id: '6371'
abstract:
- lang: eng
text: "Decades of studies have revealed the mechanisms of gene regulation in molecular
detail. We make use of such well-described regulatory systems to explore how the
molecular mechanisms of protein-protein and protein-DNA interactions shape the
dynamics and evolution of gene regulation. \r\n\r\ni) We uncover how the biophysics
of protein-DNA binding determines the potential of regulatory networks to evolve
and adapt, which can be captured using a simple mathematical model. \r\nii) The
evolution of regulatory connections can lead to a significant amount of crosstalk
between binding proteins. We explore the effect of crosstalk on gene expression
from a target promoter, which seems to be modulated through binding competition
at non-specific DNA sites. \r\niii) We investigate how the very same biophysical
characteristics as in i) can generate significant fitness costs for cells through
global crosstalk, meaning non-specific DNA binding across the genomic background.
\r\niv) Binding competition between proteins at a target promoter is a prevailing
regulatory feature due to the prevalence of co-regulation at bacterial promoters.
However, the dynamics of these systems are not always straightforward to determine
even if the molecular mechanisms of regulation are known. A detailed model of
the biophysical interactions reveals that interference between the regulatory
proteins can constitute a new, generic form of system memory that records the
history of the input signals at the promoter. \r\n\r\nWe demonstrate how the biophysics
of protein-DNA binding can be harnessed to investigate the principles that shape
and ultimately limit cellular gene regulation. These results provide a basis for
studies of higher-level functionality, which arises from the underlying regulation.
\ \r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
citation:
ama: Igler C. On the nature of gene regulatory design - The biophysics of transcription
factor binding shapes gene regulation. 2019. doi:10.15479/AT:ISTA:6371
apa: Igler, C. (2019). On the nature of gene regulatory design - The biophysics
of transcription factor binding shapes gene regulation. Institute of Science
and Technology Austria. https://doi.org/10.15479/AT:ISTA:6371
chicago: Igler, Claudia. “On the Nature of Gene Regulatory Design - The Biophysics
of Transcription Factor Binding Shapes Gene Regulation.” Institute of Science
and Technology Austria, 2019. https://doi.org/10.15479/AT:ISTA:6371.
ieee: C. Igler, “On the nature of gene regulatory design - The biophysics of transcription
factor binding shapes gene regulation,” Institute of Science and Technology Austria,
2019.
ista: Igler C. 2019. On the nature of gene regulatory design - The biophysics of
transcription factor binding shapes gene regulation. Institute of Science and
Technology Austria.
mla: Igler, Claudia. On the Nature of Gene Regulatory Design - The Biophysics
of Transcription Factor Binding Shapes Gene Regulation. Institute of Science
and Technology Austria, 2019, doi:10.15479/AT:ISTA:6371.
short: C. Igler, On the Nature of Gene Regulatory Design - The Biophysics of Transcription
Factor Binding Shapes Gene Regulation, Institute of Science and Technology Austria,
2019.
date_created: 2019-05-03T11:55:51Z
date_published: 2019-05-03T00:00:00Z
date_updated: 2024-02-21T13:45:52Z
day: '03'
ddc:
- '576'
- '579'
degree_awarded: PhD
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:6371
file:
- access_level: open_access
checksum: c0085d47c58c9cbcab1b0a783480f6da
content_type: application/pdf
creator: cigler
date_created: 2019-05-03T11:54:52Z
date_updated: 2021-02-11T11:17:13Z
embargo: 2020-05-02
file_id: '6373'
file_name: IglerClaudia_OntheNatureofGeneRegulatoryDesign.pdf
file_size: 12597663
relation: main_file
- access_level: closed
checksum: 2eac954de1c8bbf7e6fb35ed0221ae8c
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: cigler
date_created: 2019-05-03T11:54:54Z
date_updated: 2020-07-14T12:47:28Z
embargo_to: open_access
file_id: '6374'
file_name: IglerClaudia_OntheNatureofGeneRegulatoryDesign.docx
file_size: 34644426
relation: source_file
file_date_updated: 2021-02-11T11:17:13Z
has_accepted_license: '1'
keyword:
- gene regulation
- biophysics
- transcription factor binding
- bacteria
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '152'
project:
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture (DOC Fellowship)
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '67'
relation: part_of_dissertation
status: public
- id: '5585'
relation: popular_science
status: public
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: On the nature of gene regulatory design - The biophysics of transcription factor
binding shapes gene regulation
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '49'
abstract:
- lang: eng
text: Nowadays, quantum computation is receiving more and more attention as an alternative
to the classical way of computing. For realizing a quantum computer, different
devices are investigated as potential quantum bits. In this thesis, the focus
is on Ge hut wires, which turned out to be promising candidates for implementing
hole spin quantum bits. The advantages of Ge as a material system are the low
hyperfine interaction for holes and the strong spin orbit coupling, as well as
the compatibility with the highly developed CMOS processes in industry. In addition,
Ge can also be isotopically purified which is expected to boost the spin coherence
times. The strong spin orbit interaction for holes in Ge on the one hand enables
the full electrical control of the quantum bit and on the other hand should allow
short spin manipulation times. Starting with a bare Si wafer, this work covers
the entire process reaching from growth over the fabrication and characterization
of hut wire devices up to the demonstration of hole spin resonance. From experiments
with single quantum dots, a large g-factor anisotropy between the in-plane and
the out-of-plane direction was found. A comparison to a theoretical model unveiled
the heavy-hole character of the lowest energy states. The second part of the thesis
addresses double quantum dot devices, which were realized by adding two gate electrodes
to a hut wire. In such devices, Pauli spin blockade was observed, which can serve
as a read-out mechanism for spin quantum bits. Applying oscillating electric fields
in spin blockade allowed the demonstration of continuous spin rotations and the
extraction of a lower bound for the spin dephasing time. Despite the strong spin
orbit coupling in Ge, the obtained value for the dephasing time is comparable
to what has been recently reported for holes in Si. All in all, the presented
results point out the high potential of Ge hut wires as a platform for long-lived,
fast and fully electrically tunable hole spin quantum bits.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Hannes
full_name: Watzinger, Hannes
id: 35DF8E50-F248-11E8-B48F-1D18A9856A87
last_name: Watzinger
citation:
ama: Watzinger H. Ge hut wires - from growth to hole spin resonance. 2018. doi:10.15479/AT:ISTA:th_1033
apa: Watzinger, H. (2018). Ge hut wires - from growth to hole spin resonance.
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_1033
chicago: Watzinger, Hannes. “Ge Hut Wires - from Growth to Hole Spin Resonance.”
Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_1033.
ieee: H. Watzinger, “Ge hut wires - from growth to hole spin resonance,” Institute
of Science and Technology Austria, 2018.
ista: Watzinger H. 2018. Ge hut wires - from growth to hole spin resonance. Institute
of Science and Technology Austria.
mla: Watzinger, Hannes. Ge Hut Wires - from Growth to Hole Spin Resonance.
Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_1033.
short: H. Watzinger, Ge Hut Wires - from Growth to Hole Spin Resonance, Institute
of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:44:21Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2023-09-07T12:27:43Z
day: '30'
ddc:
- '530'
degree_awarded: PhD
department:
- _id: GeKa
doi: 10.15479/AT:ISTA:th_1033
file:
- access_level: open_access
checksum: b653b5216251f938ddbeafd1de88667c
content_type: application/pdf
creator: dernst
date_created: 2019-04-09T07:13:28Z
date_updated: 2020-07-14T12:46:35Z
file_id: '6249'
file_name: 2018_Thesis_Watzinger.pdf
file_size: 85539748
relation: main_file
- access_level: closed
checksum: 39bcf8de7ac5b1bb516b11ce2f966785
content_type: application/zip
creator: dernst
date_created: 2019-04-09T07:13:27Z
date_updated: 2020-07-14T12:46:35Z
file_id: '6250'
file_name: 2018_Thesis_Watzinger_source.zip
file_size: 21830697
relation: source_file
file_date_updated: 2020-07-14T12:46:35Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '07'
oa: 1
oa_version: Published Version
page: '77'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '8005'
pubrep_id: '1033'
status: public
supervisor:
- first_name: Georgios
full_name: Katsaros, Georgios
id: 38DB5788-F248-11E8-B48F-1D18A9856A87
last_name: Katsaros
orcid: 0000-0001-8342-202X
title: Ge hut wires - from growth to hole spin resonance
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '201'
abstract:
- lang: eng
text: 'We describe arrangements of three-dimensional spheres from a geometrical
and topological point of view. Real data (fitting this setup) often consist of
soft spheres which show certain degree of deformation while strongly packing against
each other. In this context, we answer the following questions: If we model a
soft packing of spheres by hard spheres that are allowed to overlap, can we measure
the volume in the overlapped areas? Can we be more specific about the overlap
volume, i.e. quantify how much volume is there covered exactly twice, three times,
or k times? What would be a good optimization criteria that rule the arrangement
of soft spheres while making a good use of the available space? Fixing a particular
criterion, what would be the optimal sphere configuration? The first result of
this thesis are short formulas for the computation of volumes covered by at least
k of the balls. The formulas exploit information contained in the order-k Voronoi
diagrams and its closely related Level-k complex. The used complexes lead to a
natural generalization into poset diagrams, a theoretical formalism that contains
the order-k and degree-k diagrams as special cases. In parallel, we define different
criteria to determine what could be considered an optimal arrangement from a geometrical
point of view. Fixing a criterion, we find optimal soft packing configurations
in 2D and 3D where the ball centers lie on a lattice. As a last step, we use tools
from computational topology on real physical data, to show the potentials of higher-order
diagrams in the description of melting crystals. The results of the experiments
leaves us with an open window to apply the theories developed in this thesis in
real applications.'
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mabel
full_name: Iglesias Ham, Mabel
id: 41B58C0C-F248-11E8-B48F-1D18A9856A87
last_name: Iglesias Ham
citation:
ama: Iglesias Ham M. Multiple covers with balls. 2018. doi:10.15479/AT:ISTA:th_1026
apa: Iglesias Ham, M. (2018). Multiple covers with balls. Institute of Science
and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_1026
chicago: Iglesias Ham, Mabel. “Multiple Covers with Balls.” Institute of Science
and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_1026.
ieee: M. Iglesias Ham, “Multiple covers with balls,” Institute of Science and Technology
Austria, 2018.
ista: Iglesias Ham M. 2018. Multiple covers with balls. Institute of Science and
Technology Austria.
mla: Iglesias Ham, Mabel. Multiple Covers with Balls. Institute of Science
and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_1026.
short: M. Iglesias Ham, Multiple Covers with Balls, Institute of Science and Technology
Austria, 2018.
date_created: 2018-12-11T11:45:10Z
date_published: 2018-06-11T00:00:00Z
date_updated: 2023-09-07T12:25:32Z
day: '11'
ddc:
- '514'
- '516'
degree_awarded: PhD
department:
- _id: HeEd
doi: 10.15479/AT:ISTA:th_1026
file:
- access_level: closed
checksum: dd699303623e96d1478a6ae07210dd05
content_type: application/zip
creator: kschuh
date_created: 2019-02-05T07:43:31Z
date_updated: 2020-07-14T12:45:24Z
file_id: '5918'
file_name: IST-2018-1025-v2+5_ist-thesis-iglesias-11June2018(1).zip
file_size: 11827713
relation: source_file
- access_level: open_access
checksum: ba163849a190d2b41d66fef0e4983294
content_type: application/pdf
creator: kschuh
date_created: 2019-02-05T07:43:45Z
date_updated: 2020-07-14T12:45:24Z
file_id: '5919'
file_name: IST-2018-1025-v2+4_ThesisIglesiasFinal11June2018.pdf
file_size: 4783846
relation: main_file
file_date_updated: 2020-07-14T12:45:24Z
has_accepted_license: '1'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: '171'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7712'
pubrep_id: '1026'
status: public
supervisor:
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
title: Multiple covers with balls
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '68'
abstract:
- lang: eng
text: The most common assumption made in statistical learning theory is the assumption
of the independent and identically distributed (i.i.d.) data. While being very
convenient mathematically, it is often very clearly violated in practice. This
disparity between the machine learning theory and applications underlies a growing
demand in the development of algorithms that learn from dependent data and theory
that can provide generalization guarantees similar to the independent situations.
This thesis is dedicated to two variants of dependencies that can arise in practice.
One is a dependence on the level of samples in a single learning task. Another
dependency type arises in the multi-task setting when the tasks are dependent
on each other even though the data for them can be i.i.d. In both cases we model
the data (samples or tasks) as stochastic processes and introduce new algorithms
for both settings that take into account and exploit the resulting dependencies.
We prove the theoretical guarantees on the performance of the introduced algorithms
under different evaluation criteria and, in addition, we compliment the theoretical
study by the empirical one, where we evaluate some of the algorithms on two real
world datasets to highlight their practical applicability.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Alexander
full_name: Zimin, Alexander
id: 37099E9C-F248-11E8-B48F-1D18A9856A87
last_name: Zimin
citation:
ama: Zimin A. Learning from dependent data. 2018. doi:10.15479/AT:ISTA:TH1048
apa: Zimin, A. (2018). Learning from dependent data. Institute of Science
and Technology Austria. https://doi.org/10.15479/AT:ISTA:TH1048
chicago: Zimin, Alexander. “Learning from Dependent Data.” Institute of Science
and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:TH1048.
ieee: A. Zimin, “Learning from dependent data,” Institute of Science and Technology
Austria, 2018.
ista: Zimin A. 2018. Learning from dependent data. Institute of Science and Technology
Austria.
mla: Zimin, Alexander. Learning from Dependent Data. Institute of Science
and Technology Austria, 2018, doi:10.15479/AT:ISTA:TH1048.
short: A. Zimin, Learning from Dependent Data, Institute of Science and Technology
Austria, 2018.
date_created: 2018-12-11T11:44:27Z
date_published: 2018-09-01T00:00:00Z
date_updated: 2023-09-07T12:29:07Z
day: '01'
ddc:
- '004'
- '519'
degree_awarded: PhD
department:
- _id: ChLa
doi: 10.15479/AT:ISTA:TH1048
ec_funded: 1
file:
- access_level: open_access
checksum: e849dd40a915e4d6c5572b51b517f098
content_type: application/pdf
creator: dernst
date_created: 2019-04-09T07:32:47Z
date_updated: 2020-07-14T12:47:40Z
file_id: '6253'
file_name: 2018_Thesis_Zimin.pdf
file_size: 1036137
relation: main_file
- access_level: closed
checksum: da092153cec55c97461bd53c45c5d139
content_type: application/zip
creator: dernst
date_created: 2019-04-09T07:32:47Z
date_updated: 2020-07-14T12:47:40Z
file_id: '6254'
file_name: 2018_Thesis_Zimin_Source.zip
file_size: 637490
relation: source_file
file_date_updated: 2020-07-14T12:47:40Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '92'
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7986'
pubrep_id: '1048'
status: public
supervisor:
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
title: Learning from dependent data
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '83'
abstract:
- lang: eng
text: "A proof system is a protocol between a prover and a verifier over a common
input in which an honest prover convinces the verifier of the validity of true
statements. Motivated by the success of decentralized cryptocurrencies, exemplified
by Bitcoin, the focus of this thesis will be on proof systems which found applications
in some sustainable alternatives to Bitcoin, such as the Spacemint and Chia cryptocurrencies.
In particular, we focus on proofs of space and proofs of sequential work.\r\nProofs
of space (PoSpace) were suggested as more ecological, economical, and egalitarian
alternative to the energy-wasteful proof-of-work mining of Bitcoin. However, the
state-of-the-art constructions of PoSpace are based on sophisticated graph pebbling
lower bounds, and are therefore complex. Moreover, when these PoSpace are used
in cryptocurrencies like Spacemint, miners can only start mining after ensuring
that a commitment to their space is already added in a special transaction to
the blockchain. Proofs of sequential work (PoSW) are proof systems in which a
prover, upon receiving a statement x and a time parameter T, computes a proof
which convinces the verifier that T time units had passed since x was received.
Whereas Spacemint assumes synchrony to retain some interesting Bitcoin dynamics,
Chia requires PoSW with unique proofs, i.e., PoSW in which it is hard to come
up with more than one accepting proof for any true statement. In this thesis we
construct simple and practically-efficient PoSpace and PoSW. When using our PoSpace
in cryptocurrencies, miners can start mining on the fly, like in Bitcoin, and
unlike current constructions of PoSW, which either achieve efficient verification
of sequential work, or faster-than-recomputing verification of correctness of
proofs, but not both at the same time, ours achieve the best of these two worlds."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Hamza M
full_name: Abusalah, Hamza M
id: 40297222-F248-11E8-B48F-1D18A9856A87
last_name: Abusalah
citation:
ama: Abusalah HM. Proof systems for sustainable decentralized cryptocurrencies.
2018. doi:10.15479/AT:ISTA:TH_1046
apa: Abusalah, H. M. (2018). Proof systems for sustainable decentralized cryptocurrencies.
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:TH_1046
chicago: Abusalah, Hamza M. “Proof Systems for Sustainable Decentralized Cryptocurrencies.”
Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:TH_1046.
ieee: H. M. Abusalah, “Proof systems for sustainable decentralized cryptocurrencies,”
Institute of Science and Technology Austria, 2018.
ista: Abusalah HM. 2018. Proof systems for sustainable decentralized cryptocurrencies.
Institute of Science and Technology Austria.
mla: Abusalah, Hamza M. Proof Systems for Sustainable Decentralized Cryptocurrencies.
Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:TH_1046.
short: H.M. Abusalah, Proof Systems for Sustainable Decentralized Cryptocurrencies,
Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:44:32Z
date_published: 2018-09-05T00:00:00Z
date_updated: 2023-09-07T12:30:23Z
day: '05'
ddc:
- '004'
degree_awarded: PhD
department:
- _id: KrPi
doi: 10.15479/AT:ISTA:TH_1046
ec_funded: 1
file:
- access_level: open_access
checksum: c4b5f7d111755d1396787f41886fc674
content_type: application/pdf
creator: dernst
date_created: 2019-04-09T06:43:41Z
date_updated: 2020-07-14T12:48:11Z
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file_name: 2018_Thesis_Abusalah.pdf
file_size: 876241
relation: main_file
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checksum: 0f382ac56b471c48fd907d63eb87dafe
content_type: application/x-gzip
creator: dernst
date_created: 2019-04-09T06:43:41Z
date_updated: 2020-07-14T12:48:11Z
file_id: '6246'
file_name: 2018_Thesis_Abusalah_source.tar.gz
file_size: 2029190
relation: source_file
file_date_updated: 2020-07-14T12:48:11Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '59'
project:
- _id: 258C570E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '259668'
name: Provable Security for Physical Cryptography
- _id: 258AA5B2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '682815'
name: Teaching Old Crypto New Tricks
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7971'
pubrep_id: '1046'
related_material:
record:
- id: '1229'
relation: part_of_dissertation
status: public
- id: '1235'
relation: part_of_dissertation
status: public
- id: '1236'
relation: part_of_dissertation
status: public
- id: '559'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Krzysztof Z
full_name: Pietrzak, Krzysztof Z
id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87
last_name: Pietrzak
orcid: 0000-0002-9139-1654
title: Proof systems for sustainable decentralized cryptocurrencies
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '197'
abstract:
- lang: eng
text: Modern computer vision systems heavily rely on statistical machine learning
models, which typically require large amounts of labeled data to be learned reliably.
Moreover, very recently computer vision research widely adopted techniques for
representation learning, which further increase the demand for labeled data. However,
for many important practical problems there is relatively small amount of labeled
data available, so it is problematic to leverage full potential of the representation
learning methods. One way to overcome this obstacle is to invest substantial resources
into producing large labelled datasets. Unfortunately, this can be prohibitively
expensive in practice. In this thesis we focus on the alternative way of tackling
the aforementioned issue. We concentrate on methods, which make use of weakly-labeled
or even unlabeled data. Specifically, the first half of the thesis is dedicated
to the semantic image segmentation task. We develop a technique, which achieves
competitive segmentation performance and only requires annotations in a form of
global image-level labels instead of dense segmentation masks. Subsequently, we
present a new methodology, which further improves segmentation performance by
leveraging tiny additional feedback from a human annotator. By using our methods
practitioners can greatly reduce the amount of data annotation effort, which is
required to learn modern image segmentation models. In the second half of the
thesis we focus on methods for learning from unlabeled visual data. We study a
family of autoregressive models for modeling structure of natural images and discuss
potential applications of these models. Moreover, we conduct in-depth study of
one of these applications, where we develop the state-of-the-art model for the
probabilistic image colorization task.
acknowledgement: I also gratefully acknowledge the support of NVIDIA Corporation with
the donation of the GPUs used for this research.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Alexander
full_name: Kolesnikov, Alexander
id: 2D157DB6-F248-11E8-B48F-1D18A9856A87
last_name: Kolesnikov
citation:
ama: Kolesnikov A. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural
Images. 2018. doi:10.15479/AT:ISTA:th_1021
apa: Kolesnikov, A. (2018). Weakly-Supervised Segmentation and Unsupervised Modeling
of Natural Images. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_1021
chicago: Kolesnikov, Alexander. “Weakly-Supervised Segmentation and Unsupervised
Modeling of Natural Images.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:th_1021.
ieee: A. Kolesnikov, “Weakly-Supervised Segmentation and Unsupervised Modeling of
Natural Images,” Institute of Science and Technology Austria, 2018.
ista: Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling
of Natural Images. Institute of Science and Technology Austria.
mla: Kolesnikov, Alexander. Weakly-Supervised Segmentation and Unsupervised Modeling
of Natural Images. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_1021.
short: A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of
Natural Images, Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:45:09Z
date_published: 2018-05-25T00:00:00Z
date_updated: 2023-09-07T12:51:46Z
day: '25'
ddc:
- '004'
degree_awarded: PhD
department:
- _id: ChLa
doi: 10.15479/AT:ISTA:th_1021
ec_funded: 1
file:
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checksum: bc678e02468d8ebc39dc7267dfb0a1c4
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:57Z
date_updated: 2020-07-14T12:45:22Z
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date_updated: 2020-07-14T12:45:22Z
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has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '113'
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7718'
pubrep_id: '1021'
status: public
supervisor:
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
title: Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '200'
abstract:
- lang: eng
text: This thesis is concerned with the inference of current population structure
based on geo-referenced genetic data. The underlying idea is that population structure
affects its spatial genetic structure. Therefore, genotype information can be
utilized to estimate important demographic parameters such as migration rates.
These indirect estimates of population structure have become very attractive,
as genotype data is now widely available. However, there also has been much concern
about these approaches. Importantly, genetic structure can be influenced by many
complex patterns, which often cannot be disentangled. Moreover, many methods merely
fit heuristic patterns of genetic structure, and do not build upon population
genetics theory. Here, I describe two novel inference methods that address these
shortcomings. In Chapter 2, I introduce an inference scheme based on a new type
of signal, identity by descent (IBD) blocks. Recently, it has become feasible
to detect such long blocks of genome shared between pairs of samples. These blocks
are direct traces of recent coalescence events. As such, they contain ample signal
for inferring recent demography. I examine sharing of IBD blocks in two-dimensional
populations with local migration. Using a diffusion approximation, I derive formulas
for an isolation by distance pattern of long IBD blocks and show that sharing
of long IBD blocks approaches rapid exponential decay for growing sample distance.
I describe an inference scheme based on these results. It can robustly estimate
the dispersal rate and population density, which is demonstrated on simulated
data. I also show an application to estimate mean migration and the rate of recent
population growth within Eastern Europe. Chapter 3 is about a novel method to
estimate barriers to gene flow in a two dimensional population. This inference
scheme utilizes geographically localized allele frequency fluctuations - a classical
isolation by distance signal. The strength of these local fluctuations increases
on average next to a barrier, and there is less correlation across it. I again
use a framework of diffusion of ancestral lineages to model this effect, and provide
an efficient numerical implementation to fit the results to geo-referenced biallelic
SNP data. This inference scheme is able to robustly estimate strong barriers to
gene flow, as tests on simulated data confirm.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Harald
full_name: Ringbauer, Harald
id: 417FCFF4-F248-11E8-B48F-1D18A9856A87
last_name: Ringbauer
orcid: 0000-0002-4884-9682
citation:
ama: Ringbauer H. Inferring recent demography from spatial genetic structure. 2018.
doi:10.15479/AT:ISTA:th_963
apa: Ringbauer, H. (2018). Inferring recent demography from spatial genetic structure.
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_963
chicago: Ringbauer, Harald. “Inferring Recent Demography from Spatial Genetic Structure.”
Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_963.
ieee: H. Ringbauer, “Inferring recent demography from spatial genetic structure,”
Institute of Science and Technology Austria, 2018.
ista: Ringbauer H. 2018. Inferring recent demography from spatial genetic structure.
Institute of Science and Technology Austria.
mla: Ringbauer, Harald. Inferring Recent Demography from Spatial Genetic Structure.
Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_963.
short: H. Ringbauer, Inferring Recent Demography from Spatial Genetic Structure,
Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:45:10Z
date_published: 2018-02-21T00:00:00Z
date_updated: 2023-09-20T12:00:56Z
day: '21'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
doi: 10.15479/AT:ISTA:th_963
file:
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checksum: 8cc534d2b528ae017acf80874cce48c9
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creator: dernst
date_created: 2019-04-05T09:30:12Z
date_updated: 2020-07-14T12:45:23Z
file_id: '6224'
file_name: 2018_thesis_ringbauer_source.zip
file_size: 113365
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language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '02'
oa: 1
oa_version: Published Version
page: '146'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7713'
pubrep_id: '963'
related_material:
record:
- id: '563'
relation: part_of_dissertation
status: public
- id: '1074'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: Inferring recent demography from spatial genetic structure
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
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short: CC BY-NC (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '418'
abstract:
- lang: eng
text: "The aim of this thesis was the development of new strategies for optical
and optogenetic control of proliferative and pro-survival signaling, and characterizing
them from the molecular mechanism up to cellular effects. These new light-based
methods have unique features, such as red light as an activator, or the avoidance
of gene delivery, which enable to overcome current limitations, such as light
delivery to target tissues and feasibility as therapeutic approach. A special
focus was placed on implementing these new light-based approaches in pancreatic
β-cells, as β-cells are the key players in diabetes and especially their loss
in number negatively affects disease progression. Currently no treatment options
are available to compensate the lack of functional β-cells in diabetic patients.\r\nIn
a first approach, red-light-activated growth factor receptors, in particular receptor
tyrosine kinases were engineered and characterized. Receptor activation with light
allows spatio-temporal control compared to ligand-based activation, and especially
red light exhibits deeper tissue penetration than other wavelengths of the visible
spectrum. Red-light-activated receptor tyrosine kinases robustly activated major
growth factor related signaling pathways with a high temporal resolution. Moreover,
the remote activation of the proliferative MAPK/Erk pathway by red-light-activated
receptor tyrosine kinases in a pancreatic β-cell line was also achieved, through
one centimeter thick mouse tissue. Although red-light-activated receptor tyrosine
kinases are particularly attractive for applications in animal models due to the
deep tissue penetration of red light, a drawback, especially with regard to translation
into humans, is the requirement of gene therapy.\r\nIn a second approach an endogenous
light-sensitive mechanism was identified and its potential to promote proliferative
and pro-survival signals was explored, towards light-based tissue regeneration
without the need for gene transfer. Blue-green light illumination was found to
be sufficient for the activation of proliferation and survival promoting signaling
pathways in primary pancreatic murine and human islets. Blue-green light also
led to an increase in proliferation of primary islet cells, an effect which was
shown to be mostly β-cell specific in human islets. Moreover, it was demonstrated
that this approach of pancreatic β-cell expansion did not have any negative effect
on the β-cell function, in particular on their insulin secretion capacity. In
contrast, a trend for enhanced insulin secretion under high glucose conditions
after illumination was detected. In order to unravel the detailed characteristics
of this endogenous light-sensitive mechanism, the precise light requirements were
determined. In addition, the expression of light sensing proteins, OPN3 and rhodopsin,
was detected. The observed effects were found to be independent of handling effects
such as temperature differences and cytochrome c oxidase dependent ATP increase,
but they were found to be enhanced through the knockout of OPN3. The exact mechanism
of how islets cells sense light and the identity of the photoreceptor remains
unknown.\r\nSummarized two new light-based systems with unique features were established
that enable the activation of proliferative and pro-survival signaling pathways.
While red-light-activated receptor tyrosine kinases open a new avenue for optogenetics
research, by allowing non-invasive control of signaling in vivo, the identified
endogenous light-sensitive mechanism has the potential to be the basis of a gene
therapy-free therapeutical approach for light-based β-cell expansion."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Eva
full_name: Gschaider-Reichhart, Eva
id: 3FEE232A-F248-11E8-B48F-1D18A9856A87
last_name: Gschaider-Reichhart
orcid: 0000-0002-7218-7738
citation:
ama: Gschaider-Reichhart E. Optical and optogenetic control of proliferation and
survival . 2018. doi:10.15479/AT:ISTA:th_913
apa: Gschaider-Reichhart, E. (2018). Optical and optogenetic control of proliferation
and survival . Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_913
chicago: Gschaider-Reichhart, Eva. “Optical and Optogenetic Control of Proliferation
and Survival .” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_913.
ieee: E. Gschaider-Reichhart, “Optical and optogenetic control of proliferation
and survival ,” Institute of Science and Technology Austria, 2018.
ista: Gschaider-Reichhart E. 2018. Optical and optogenetic control of proliferation
and survival . Institute of Science and Technology Austria.
mla: Gschaider-Reichhart, Eva. Optical and Optogenetic Control of Proliferation
and Survival . Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_913.
short: E. Gschaider-Reichhart, Optical and Optogenetic Control of Proliferation
and Survival , Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:46:22Z
date_published: 2018-01-08T00:00:00Z
date_updated: 2023-09-22T09:20:10Z
day: '08'
ddc:
- '571'
- '570'
degree_awarded: PhD
department:
- _id: HaJa
doi: 10.15479/AT:ISTA:th_913
file:
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language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: '107'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7405'
pubrep_id: '913'
related_material:
record:
- id: '1441'
relation: part_of_dissertation
status: public
- id: '1678'
relation: part_of_dissertation
status: public
- id: '2084'
relation: part_of_dissertation
status: public
- id: '1028'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
title: 'Optical and optogenetic control of proliferation and survival '
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '52'
abstract:
- lang: eng
text: In this thesis we will discuss systems of point interacting fermions, their
stability and other spectral properties. Whereas for bosons a point interacting
system is always unstable this ques- tion is more subtle for a gas of two species
of fermions. In particular the answer depends on the mass ratio between these
two species. Most of this work will be focused on the N + M model which consists
of two species of fermions with N, M particles respectively which interact via
point interactions. We will introduce this model using a formal limit and discuss
the N + 1 system in more detail. In particular, we will show that for mass ratios
above a critical one, which does not depend on the particle number, the N + 1
system is stable. In the context of this model we will prove rigorous versions
of Tan relations which relate various quantities of the point-interacting model.
By restricting the N + 1 system to a box we define a finite density model with
point in- teractions. In the context of this system we will discuss the energy
change when introducing a point-interacting impurity into a system of non-interacting
fermions. We will see that this change in energy is bounded independently of the
particle number and in particular the bound only depends on the density and the
scattering length. As another special case of the N + M model we will show stability
of the 2 + 2 model for mass ratios in an interval around one. Further we will
investigate a different model of point interactions which was discussed before
in the literature and which is, contrary to the N + M model, not given by a limiting
procedure but is based on a Dirichlet form. We will show that this system behaves
trivially in the thermodynamic limit, i.e. the free energy per particle is the
same as the one of the non-interacting system.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Thomas
full_name: Moser, Thomas
id: 2B5FC9A4-F248-11E8-B48F-1D18A9856A87
last_name: Moser
citation:
ama: Moser T. Point interactions in systems of fermions. 2018. doi:10.15479/AT:ISTA:th_1043
apa: Moser, T. (2018). Point interactions in systems of fermions. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_1043
chicago: Moser, Thomas. “Point Interactions in Systems of Fermions.” Institute of
Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_1043.
ieee: T. Moser, “Point interactions in systems of fermions,” Institute of Science
and Technology Austria, 2018.
ista: Moser T. 2018. Point interactions in systems of fermions. Institute of Science
and Technology Austria.
mla: Moser, Thomas. Point Interactions in Systems of Fermions. Institute
of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_1043.
short: T. Moser, Point Interactions in Systems of Fermions, Institute of Science
and Technology Austria, 2018.
date_created: 2018-12-11T11:44:22Z
date_published: 2018-09-04T00:00:00Z
date_updated: 2023-09-27T12:34:14Z
day: '04'
ddc:
- '515'
- '530'
- '519'
degree_awarded: PhD
department:
- _id: RoSe
doi: 10.15479/AT:ISTA:th_1043
file:
- access_level: open_access
checksum: fbd8c747d148b468a21213b7cf175225
content_type: application/pdf
creator: dernst
date_created: 2019-04-09T07:45:38Z
date_updated: 2020-07-14T12:46:37Z
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file_name: 2018_Thesis_Moser.pdf
file_size: 851164
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checksum: c28e16ecfc1126d3ce324ec96493c01e
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creator: dernst
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date_updated: 2020-07-14T12:46:37Z
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file_name: 2018_Thesis_Moser_Source.zip
file_size: 1531516
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has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '115'
project:
- _id: 25C878CE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P27533_N27
name: Structure of the Excitation Spectrum for Many-Body Quantum Systems
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '8002'
pubrep_id: '1043'
related_material:
record:
- id: '5856'
relation: part_of_dissertation
status: public
- id: '154'
relation: part_of_dissertation
status: public
- id: '1198'
relation: part_of_dissertation
status: public
- id: '741'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Robert
full_name: Seiringer, Robert
id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
last_name: Seiringer
orcid: 0000-0002-6781-0521
title: Point interactions in systems of fermions
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '69'
abstract:
- lang: eng
text: 'A qubit, a unit of quantum information, is essentially any quantum mechanical
two-level system which can be coherently controlled. Still, to be used for computation,
it has to fulfill criteria. Qubits, regardless of the system in which they are
realized, suffer from decoherence. This leads to loss of the information stored
in the qubit. The upper bound of the time scale on which decoherence happens is
set by the spin relaxation time. In this thesis I studied a two-level system consisting
of a Zeeman-split hole spin confined in a quantum dot formed in a Ge hut wire.
Such Ge hut wires have emerged as a promising material system for the realization
of spin qubits, due to the combination of two significant properties: long spin
coherence time as expected for group IV semiconductors due to the low hyperfine
interaction and a strong valence band spin-orbit coupling. Here, I present how
to fabricate quantum dot devices suitable for electrical transport measurements.
Coupled quantum dot devices allowed the realization of a charge sensor, which
is electrostatically and tunnel coupled to a quantum dot. By integrating the charge
sensor into a radio-frequency reflectometry setup, I performed for the first time
single-shot readout measurements of hole spins and extracted the hole spin relaxation
times in Ge hut wires.'
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Lada
full_name: Vukušić, Lada
id: 31E9F056-F248-11E8-B48F-1D18A9856A87
last_name: Vukušić
orcid: 0000-0003-2424-8636
citation:
ama: Vukušić L. Charge sensing and spin relaxation times of holes in Ge hut wires.
2018. doi:10.15479/AT:ISTA:TH_1047
apa: Vukušić, L. (2018). Charge sensing and spin relaxation times of holes in
Ge hut wires. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:TH_1047
chicago: Vukušić, Lada. “Charge Sensing and Spin Relaxation Times of Holes in Ge
Hut Wires.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:TH_1047.
ieee: L. Vukušić, “Charge sensing and spin relaxation times of holes in Ge hut wires,”
Institute of Science and Technology Austria, 2018.
ista: Vukušić L. 2018. Charge sensing and spin relaxation times of holes in Ge hut
wires. Institute of Science and Technology Austria.
mla: Vukušić, Lada. Charge Sensing and Spin Relaxation Times of Holes in Ge Hut
Wires. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:TH_1047.
short: L. Vukušić, Charge Sensing and Spin Relaxation Times of Holes in Ge Hut Wires,
Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:44:28Z
date_published: 2018-09-01T00:00:00Z
date_updated: 2023-09-26T15:50:22Z
day: '01'
ddc:
- '530'
- '600'
degree_awarded: PhD
department:
- _id: GeKa
- _id: GradSch
doi: 10.15479/AT:ISTA:TH_1047
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issn:
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publisher: Institute of Science and Technology Austria
publist_id: '7985'
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- id: '23'
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status: public
- id: '840'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Georgios
full_name: Katsaros, Georgios
id: 38DB5788-F248-11E8-B48F-1D18A9856A87
last_name: Katsaros
orcid: 0000-0001-8342-202X
title: Charge sensing and spin relaxation times of holes in Ge hut wires
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image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...