---
_id: '11128'
abstract:
- lang: eng
text: "Although we often see studies focusing on simple or even discrete traits
in studies of colouration,\r\nthe variation of “appearance” phenotypes found in
nature is often more complex, continuous\r\nand high-dimensional. Therefore, we
developed automated methods suitable for large datasets\r\nof genomes and images,
striving to account for their complex nature, while minimising human\r\nbias.
We used these methods on a dataset of more than 20, 000 plant SNP genomes and\r\ncorresponding
fower images from a hybrid zone of two subspecies of Antirrhinum majus with\r\ndistinctly
coloured fowers to improve our understanding of the genetic nature of the fower\r\ncolour
in our study system.\r\nFirstly, we use the advantage of large numbers of genotyped
plants to estimate the haplotypes in\r\nthe main fower colour regulating region.
We study colour- and geography-related characteristics\r\nof the estimated haplotypes
and how they connect to their relatedness. We show discrepancies\r\nfrom the expected
fower colour distributions given the genotype and identify particular\r\nhaplotypes
leading to unexpected phenotypes. We also confrm a signifcant defcit of the\r\ndouble
recessive recombinant and quite surprisingly, we show that haplotypes of the most\r\nfrequent
parental type are much less variable than others.\r\nSecondly, we introduce our
pipeline capable of processing tens of thousands of full fower\r\nimages without
human interaction and summarising each image into a set of informative scores.\r\nWe
show the compatibility of these machine-measured fower colour scores with the
previously\r\nused manual scores and study impact of external efect on the resulting
scores. Finally, we use\r\nthe machine-measured fower colour scores to ft and
examine a phenotype cline across the\r\nhybrid zone in Planoles using full fower
images as opposed to discrete, manual scores and\r\ncompare it with the genotypic
cline."
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Lenka
full_name: Matejovicova, Lenka
id: 2DFDEC72-F248-11E8-B48F-1D18A9856A87
last_name: Matejovicova
citation:
ama: Matejovicova L. Genetic basis of flower colour as a model for adaptive evolution.
2022. doi:10.15479/at:ista:11128
apa: Matejovicova, L. (2022). Genetic basis of flower colour as a model for adaptive
evolution. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11128
chicago: Matejovicova, Lenka. “Genetic Basis of Flower Colour as a Model for Adaptive
Evolution.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11128.
ieee: L. Matejovicova, “Genetic basis of flower colour as a model for adaptive evolution,”
Institute of Science and Technology Austria, 2022.
ista: Matejovicova L. 2022. Genetic basis of flower colour as a model for adaptive
evolution. Institute of Science and Technology Austria.
mla: Matejovicova, Lenka. Genetic Basis of Flower Colour as a Model for Adaptive
Evolution. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11128.
short: L. Matejovicova, Genetic Basis of Flower Colour as a Model for Adaptive Evolution,
Institute of Science and Technology Austria, 2022.
date_created: 2022-04-07T08:19:54Z
date_published: 2022-04-06T00:00:00Z
date_updated: 2023-06-23T06:26:41Z
day: '06'
ddc:
- '576'
- '582'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11128
file:
- access_level: open_access
checksum: e9609bc4e8f8e20146fc1125fd4f1bf7
content_type: application/pdf
creator: cchlebak
date_created: 2022-04-07T08:11:34Z
date_updated: 2022-04-07T08:11:34Z
file_id: '11129'
file_name: LenkaPhD_Official_PDFA.pdf
file_size: 11906472
relation: main_file
- access_level: closed
checksum: 99d67040432fd07a225643a212ee8588
content_type: application/x-zip-compressed
creator: cchlebak
date_created: 2022-04-07T08:11:51Z
date_updated: 2022-04-07T08:11:51Z
file_id: '11130'
file_name: LenkaPhD Official_source.zip
file_size: 23036766
relation: source_file
file_date_updated: 2022-04-07T08:11:51Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '04'
oa: 1
oa_version: Published Version
page: '112'
publication_identifier:
isbn:
- 978-3-99078-016-9
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
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: Genetic basis of flower colour as a model for adaptive evolution
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '11945'
abstract:
- lang: eng
text: "G protein-coupled receptors (GPCRs) respond to specific ligands and regulate
multiple processes ranging from cell growth and immune responses to neuronal signal
transmission. However, ligands for many GPCRs remain unknown, suffer from off-target
effects or have poor bioavailability. Additional challenges exist to dissect cell-type
specific responses when the same GPCR is expressed on several cell types within
the body. Here, we overcome these limitations by engineering DREADD-based GPCR
chimeras that selectively bind their agonist clozapine-N-oxide (CNO) and mimic
a GPCR-of-interest in a desired cell type.\r\nWe validated our approach with β2-adrenergic
receptor (β2AR/ADRB2) and show that our chimeric DREADD-β2AR triggers comparable
responses on second messenger and kinase activity, post-translational modifications,
and protein-protein interactions. Since β2AR is also enriched in microglia, which
can drive inflammation in the central nervous system, we expressed chimeric DREADD-β2AR
in primary microglia and successfully recapitulate β2AR-mediated filopodia formation
through CNO stimulation. To dissect the role of selected GPCRs during microglial
inflammation, we additionally generated DREADD-based chimeras for microglia-enriched
GPR65 and GPR109A/HCAR2. In a microglia cell line, DREADD-β2AR and DREADD-GPR65
both modulated the inflammatory response with a similar profile as endogenously
expressed β2AR, while DREADD-GPR109A showed no impact.\r\nOur DREADD-based approach
provides the means to obtain mechanistic and functional insights into GPCR signaling
on a cell-type specific level."
acknowledged_ssus:
- _id: Bio
- _id: PreCl
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Rouven
full_name: Schulz, Rouven
id: 4C5E7B96-F248-11E8-B48F-1D18A9856A87
last_name: Schulz
orcid: 0000-0001-5297-733X
citation:
ama: Schulz R. Chimeric G protein-coupled receptors mimic distinct signaling pathways
and modulate microglia function. 2022. doi:10.15479/at:ista:11945
apa: Schulz, R. (2022). Chimeric G protein-coupled receptors mimic distinct signaling
pathways and modulate microglia function. Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:11945
chicago: Schulz, Rouven. “Chimeric G Protein-Coupled Receptors Mimic Distinct Signaling
Pathways and Modulate Microglia Function.” Institute of Science and Technology
Austria, 2022. https://doi.org/10.15479/at:ista:11945.
ieee: R. Schulz, “Chimeric G protein-coupled receptors mimic distinct signaling
pathways and modulate microglia function,” Institute of Science and Technology
Austria, 2022.
ista: Schulz R. 2022. Chimeric G protein-coupled receptors mimic distinct signaling
pathways and modulate microglia function. Institute of Science and Technology
Austria.
mla: Schulz, Rouven. Chimeric G Protein-Coupled Receptors Mimic Distinct Signaling
Pathways and Modulate Microglia Function. Institute of Science and Technology
Austria, 2022, doi:10.15479/at:ista:11945.
short: R. Schulz, Chimeric G Protein-Coupled Receptors Mimic Distinct Signaling
Pathways and Modulate Microglia Function, Institute of Science and Technology
Austria, 2022.
date_created: 2022-08-23T11:33:11Z
date_published: 2022-08-23T00:00:00Z
date_updated: 2023-08-03T13:02:26Z
day: '23'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: SaSi
doi: 10.15479/at:ista:11945
file:
- access_level: open_access
checksum: 61b1b666a210ff7cdd0e95ea75207a13
content_type: application/pdf
creator: rschulz
date_created: 2022-08-25T08:59:57Z
date_updated: 2022-08-25T08:59:57Z
file_id: '11970'
file_name: Thesis_Rouven_Schulz_2022_final.pdf
file_size: 28079331
relation: main_file
success: 1
- access_level: closed
checksum: 2b8f95ea1c134dbdb927b41b1dbeeeb5
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: rschulz
date_created: 2022-08-25T09:00:11Z
date_updated: 2022-08-25T09:33:31Z
file_id: '11971'
file_name: Thesis_Rouven_Schulz_2022_final.docx
file_size: 27226963
relation: source_file
file_date_updated: 2022-08-25T09:33:31Z
has_accepted_license: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '133'
project:
- _id: 267F75D8-B435-11E9-9278-68D0E5697425
name: Modulating microglia through G protein-coupled receptor (GPCR) signaling
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '11995'
relation: dissertation_contains
status: public
status: public
supervisor:
- first_name: Sandra
full_name: Siegert, Sandra
id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
last_name: Siegert
orcid: 0000-0001-8635-0877
title: Chimeric G protein-coupled receptors mimic distinct signaling pathways and
modulate microglia function
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '12390'
abstract:
- lang: eng
text: "The scope of this thesis is to study quantum systems exhibiting a continuous
symmetry that\r\nis broken on the level of the corresponding effective theory.
In particular we are going to\r\ninvestigate translation-invariant Bose gases
in the mean field limit, effectively described by\r\nthe Hartree functional, and
the Fröhlich Polaron in the regime of strong coupling, effectively\r\ndescribed
by the Pekar functional. The latter is a model describing the interaction between
a\r\ncharged particle and the optical modes of a polar crystal. Regarding the
former, we assume in\r\naddition that the particles in the gas are unconfined,
and typically we will consider particles\r\nthat are subject to an attractive
interaction. In both cases the ground state energy of the\r\nHamiltonian is not
a proper eigenvalue due to the underlying translation-invariance, while on\r\nthe
contrary there exists a whole invariant orbit of minimizers for the corresponding
effective\r\nfunctionals. Both, the absence of proper eigenstates and the broken
symmetry of the effective\r\ntheory, make the study significantly more involved
and it is the content of this thesis to\r\ndevelop a frameworks which allows for
a systematic way to circumvent these issues.\r\nIt is a well-established result
that the ground state energy of Bose gases in the mean field limit,\r\nas well
as the ground state energy of the Fröhlich Polaron in the regime of strong coupling,
is\r\nto leading order given by the minimal energy of the corresponding effective
theory. As part\r\nof this thesis we identify the sub-leading term in the expansion
of the ground state energy,\r\nwhich can be interpreted as the quantum correction
to the classical energy, since the effective\r\ntheories under consideration can
be seen as classical counterparts.\r\nWe are further going to establish an asymptotic
expression for the energy-momentum relation\r\nof the Fröhlich Polaron in the
strong coupling limit. In the regime of suitably small momenta,\r\nthis asymptotic
expression agrees with the energy-momentum relation of a free particle having\r\nan
effectively increased mass, and we find that this effectively increased mass agrees
with the\r\nconjectured value in the physics literature.\r\nIn addition we will
discuss two unrelated papers written by the author during his stay at ISTA\r\nin
the appendix. The first one concerns the realization of anyons, which are quasi-particles\r\nacquiring
a non-trivial phase under the exchange of two particles, as molecular impurities.\r\nThe
second one provides a classification of those vector fields defined on a given
manifold\r\nthat can be written as the gradient of a given functional with respect
to a suitable metric,\r\nprovided that some mild smoothness assumptions hold.
This classification is subsequently\r\nused to identify those quantum Markov semigroups
that can be written as a gradient flow of\r\nthe relative entropy.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Morris
full_name: Brooks, Morris
id: B7ECF9FC-AA38-11E9-AC9A-0930E6697425
last_name: Brooks
orcid: 0000-0002-6249-0928
citation:
ama: Brooks M. Translation-invariant quantum systems with effectively broken symmetry.
2022. doi:10.15479/at:ista:12390
apa: Brooks, M. (2022). Translation-invariant quantum systems with effectively
broken symmetry. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12390
chicago: Brooks, Morris. “Translation-Invariant Quantum Systems with Effectively
Broken Symmetry.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:12390.
ieee: M. Brooks, “Translation-invariant quantum systems with effectively broken
symmetry,” Institute of Science and Technology Austria, 2022.
ista: Brooks M. 2022. Translation-invariant quantum systems with effectively broken
symmetry. Institute of Science and Technology Austria.
mla: Brooks, Morris. Translation-Invariant Quantum Systems with Effectively Broken
Symmetry. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:12390.
short: M. Brooks, Translation-Invariant Quantum Systems with Effectively Broken
Symmetry, Institute of Science and Technology Austria, 2022.
date_created: 2023-01-26T10:00:42Z
date_published: 2022-12-15T00:00:00Z
date_updated: 2023-08-07T13:32:09Z
day: '15'
ddc:
- '500'
degree_awarded: PhD
department:
- _id: GradSch
- _id: RoSe
doi: 10.15479/at:ista:12390
ec_funded: 1
file:
- access_level: open_access
checksum: b31460e937f33b557abb40ebef02b567
content_type: application/pdf
creator: cchlebak
date_created: 2023-01-26T10:02:34Z
date_updated: 2023-01-26T10:02:34Z
file_id: '12391'
file_name: Brooks_Thesis.pdf
file_size: 3095225
relation: main_file
success: 1
- access_level: closed
checksum: 9751869fa5e7981588ad4228f4fd4bd6
content_type: application/octet-stream
creator: cchlebak
date_created: 2023-01-26T10:02:42Z
date_updated: 2023-01-26T10:02:42Z
file_id: '12392'
file_name: Brooks_Thesis.tex
file_size: 809842
relation: source_file
file_date_updated: 2023-01-26T10:02:42Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '12'
oa: 1
oa_version: Published Version
page: '196'
project:
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694227'
name: Analysis of quantum many-body systems
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '9005'
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: Translation-invariant quantum systems with effectively broken symmetry
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '12368'
abstract:
- lang: eng
text: "Metazoan development relies on the formation and remodeling of cell-cell
contacts. The \r\nbinding of adhesion receptors and remodeling of the actomyosin
cell cortex at cell-cell \r\ninteraction sites have been implicated in cell-cell
contact formation. Yet, how these two \r\nprocesses functionally interact to drive
cell-cell contact expansion and strengthening \r\nremains unclear. Here, we study
how primary germ layer progenitor cells from zebrafish \r\nbind to supported lipid
bilayers (SLB) functionalized with E-cadherin ectodomains as an \r\nassay system
for monitoring cell-cell contact formation at high spatiotemporal resolution.
\r\nWe show that cell-cell contact formation represents a two-tiered process:
E-cadherin\x02mediated downregulation of the small GTPase RhoA at the forming
contact leads to both \r\ndepletion of Myosin-2 and decrease of F-actin. This
is followed by centrifugal actin \r\nnetwork flows at the contact triggered by
a sharp gradient of Myosin-2 at the rim of the \r\ncontact zone, with Myosin-2
displaying higher cortical localization outside than inside of \r\nthe contact.
These centrifugal cortical actin flows, in turn, not only further dilute the actin
\r\nnetwork at the contact disc, but also lead to an accumulation of both F-actin
and E\x02cadherin at the contact rim. Eventually, this combination of actomyosin
downregulation \r\nand flows at the contact contribute to the characteristic molecular
organization implicated \r\nin contact formation and maintenance: depletion of
cortical actomyosin at the contact disc, \r\ndriving contact expansion by lowering
interfacial tension at the contact, and accumulation \r\nof both E-cadherin and
F-actin at the contact rim, mechanically linking the contractile \r\ncortices
of the adhering cells. Thus, using a biomimetic assay, we exemplify how \r\nadhesion
signaling and cell mechanics function together to modulate the spatial \r\norganization
of cell-cell contacts."
acknowledged_ssus:
- _id: LifeSc
- _id: Bio
- _id: NanoFab
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Feyza N
full_name: Arslan, Feyza N
id: 49DA7910-F248-11E8-B48F-1D18A9856A87
last_name: Arslan
orcid: 0000-0001-5809-9566
citation:
ama: Arslan FN. Remodeling of E-cadherin-mediated contacts via cortical flows.
2022. doi:10.15479/at:ista:12153
apa: Arslan, F. N. (2022). Remodeling of E-cadherin-mediated contacts via cortical
flows. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12153
chicago: Arslan, Feyza N. “Remodeling of E-Cadherin-Mediated Contacts via Cortical
Flows.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:12153.
ieee: F. N. Arslan, “Remodeling of E-cadherin-mediated contacts via cortical flows,”
Institute of Science and Technology Austria, 2022.
ista: Arslan FN. 2022. Remodeling of E-cadherin-mediated contacts via cortical
flows. Institute of Science and Technology Austria.
mla: Arslan, Feyza N. Remodeling of E-Cadherin-Mediated Contacts via Cortical
Flows. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:12153.
short: F.N. Arslan, Remodeling of E-Cadherin-Mediated Contacts via Cortical Flows,
Institute of Science and Technology Austria, 2022.
date_created: 2023-01-25T10:43:24Z
date_published: 2022-09-29T00:00:00Z
date_updated: 2023-08-08T13:14:10Z
day: '29'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: CaHe
doi: 10.15479/at:ista:12153
ec_funded: 1
file:
- access_level: open_access
checksum: e54a3e69b83ebf166544164afd25608e
content_type: application/pdf
creator: cchlebak
date_created: 2023-01-25T10:52:46Z
date_updated: 2023-01-25T10:52:46Z
file_id: '12369'
file_name: THESIS_FINAL_FArslan_pdfa.pdf
file_size: 14581024
relation: main_file
success: 1
file_date_updated: 2023-01-25T10:52:46Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '113'
project:
- _id: 260F1432-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '742573'
name: Interaction and feedback between cell mechanics and fate specification in
vertebrate gastrulation
publication_identifier:
isbn:
- ' 978-3-99078-025-1 '
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '9350'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
title: Remodeling of E-cadherin-mediated contacts via cortical flows
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '11362'
abstract:
- lang: eng
text: "Deep learning has enabled breakthroughs in challenging computing problems
and has emerged as the standard problem-solving tool for computer vision and natural
language processing tasks.\r\nOne exception to this trend is safety-critical tasks
where robustness and resilience requirements contradict the black-box nature of
neural networks. \r\nTo deploy deep learning methods for these tasks, it is vital
to provide guarantees on neural network agents' safety and robustness criteria.
\r\nThis can be achieved by developing formal verification methods to verify the
safety and robustness properties of neural networks.\r\n\r\nOur goal is to design,
develop and assess safety verification methods for neural networks to improve
their reliability and trustworthiness in real-world applications.\r\nThis thesis
establishes techniques for the verification of compressed and adversarially trained
models as well as the design of novel neural networks for verifiably safe decision-making.\r\n\r\nFirst,
we establish the problem of verifying quantized neural networks. Quantization
is a technique that trades numerical precision for the computational efficiency
of running a neural network and is widely adopted in industry.\r\nWe show that
neglecting the reduced precision when verifying a neural network can lead to wrong
conclusions about the robustness and safety of the network, highlighting that
novel techniques for quantized network verification are necessary. We introduce
several bit-exact verification methods explicitly designed for quantized neural
networks and experimentally confirm on realistic networks that the network's robustness
and other formal properties are affected by the quantization.\r\n\r\nFurthermore,
we perform a case study providing evidence that adversarial training, a standard
technique for making neural networks more robust, has detrimental effects on the
network's performance. This robustness-accuracy tradeoff has been studied before
regarding the accuracy obtained on classification datasets where each data point
is independent of all other data points. On the other hand, we investigate the
tradeoff empirically in robot learning settings where a both, a high accuracy
and a high robustness, are desirable.\r\nOur results suggest that the negative
side-effects of adversarial training outweigh its robustness benefits in practice.\r\n\r\nFinally,
we consider the problem of verifying safety when running a Bayesian neural network
policy in a feedback loop with systems over the infinite time horizon. Bayesian
neural networks are probabilistic models for learning uncertainties in the data
and are therefore often used on robotic and healthcare applications where data
is inherently stochastic.\r\nWe introduce a method for recalibrating Bayesian
neural networks so that they yield probability distributions over safe decisions
only.\r\nOur method learns a safety certificate that guarantees safety over the
infinite time horizon to determine which decisions are safe in every possible
state of the system.\r\nWe demonstrate the effectiveness of our approach on a
series of reinforcement learning benchmarks."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
citation:
ama: Lechner M. Learning verifiable representations. 2022. doi:10.15479/at:ista:11362
apa: Lechner, M. (2022). Learning verifiable representations. Institute of
Science and Technology Austria. https://doi.org/10.15479/at:ista:11362
chicago: Lechner, Mathias. “Learning Verifiable Representations.” Institute of Science
and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11362.
ieee: M. Lechner, “Learning verifiable representations,” Institute of Science and
Technology Austria, 2022.
ista: Lechner M. 2022. Learning verifiable representations. Institute of Science
and Technology Austria.
mla: Lechner, Mathias. Learning Verifiable Representations. Institute of
Science and Technology Austria, 2022, doi:10.15479/at:ista:11362.
short: M. Lechner, Learning Verifiable Representations, Institute of Science and
Technology Austria, 2022.
date_created: 2022-05-12T07:14:01Z
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supervisor:
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full_name: Henzinger, Thomas A
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orcid: 0000-0002-2985-7724
title: Learning verifiable representations
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