---
_id: '7415'
article_processing_charge: No
article_type: original
author:
- first_name: Jasmin
full_name: Morandell, Jasmin
id: 4739D480-F248-11E8-B48F-1D18A9856A87
last_name: Morandell
- first_name: Armel
full_name: Nicolas, Armel
id: 2A103192-F248-11E8-B48F-1D18A9856A87
last_name: Nicolas
- first_name: Lena A
full_name: Schwarz, Lena A
id: 29A8453C-F248-11E8-B48F-1D18A9856A87
last_name: Schwarz
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
citation:
ama: Morandell J, Nicolas A, Schwarz LA, Novarino G. S.16.05 Illuminating the role
of the e3 ubiquitin ligase cullin3 in brain development and autism. European
Neuropsychopharmacology. 2019;29(Supplement 6):S11-S12. doi:10.1016/j.euroneuro.2019.09.040
apa: Morandell, J., Nicolas, A., Schwarz, L. A., & Novarino, G. (2019). S.16.05
Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development
and autism. European Neuropsychopharmacology. Elsevier. https://doi.org/10.1016/j.euroneuro.2019.09.040
chicago: Morandell, Jasmin, Armel Nicolas, Lena A Schwarz, and Gaia Novarino. “S.16.05
Illuminating the Role of the E3 Ubiquitin Ligase Cullin3 in Brain Development
and Autism.” European Neuropsychopharmacology. Elsevier, 2019. https://doi.org/10.1016/j.euroneuro.2019.09.040.
ieee: J. Morandell, A. Nicolas, L. A. Schwarz, and G. Novarino, “S.16.05 Illuminating
the role of the e3 ubiquitin ligase cullin3 in brain development and autism,”
European Neuropsychopharmacology, vol. 29, no. Supplement 6. Elsevier,
pp. S11–S12, 2019.
ista: Morandell J, Nicolas A, Schwarz LA, Novarino G. 2019. S.16.05 Illuminating
the role of the e3 ubiquitin ligase cullin3 in brain development and autism. European
Neuropsychopharmacology. 29(Supplement 6), S11–S12.
mla: Morandell, Jasmin, et al. “S.16.05 Illuminating the Role of the E3 Ubiquitin
Ligase Cullin3 in Brain Development and Autism.” European Neuropsychopharmacology,
vol. 29, no. Supplement 6, Elsevier, 2019, pp. S11–12, doi:10.1016/j.euroneuro.2019.09.040.
short: J. Morandell, A. Nicolas, L.A. Schwarz, G. Novarino, European Neuropsychopharmacology
29 (2019) S11–S12.
date_created: 2020-01-30T10:07:41Z
date_published: 2019-12-13T00:00:00Z
date_updated: 2023-09-07T14:56:17Z
day: '13'
department:
- _id: GaNo
- _id: LifeSc
doi: 10.1016/j.euroneuro.2019.09.040
external_id:
isi:
- '000502657500021'
intvolume: ' 29'
isi: 1
issue: Supplement 6
language:
- iso: eng
month: '12'
oa_version: None
page: S11-S12
publication: European Neuropsychopharmacology
publication_identifier:
issn:
- 0924-977X
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development
and autism
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 29
year: '2019'
...
---
_id: '7414'
article_processing_charge: No
article_type: original
author:
- first_name: Lisa
full_name: Knaus, Lisa
id: 3B2ABCF4-F248-11E8-B48F-1D18A9856A87
last_name: Knaus
- first_name: Dora-Clara
full_name: Tarlungeanu, Dora-Clara
id: 2ABCE612-F248-11E8-B48F-1D18A9856A87
last_name: Tarlungeanu
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
citation:
ama: Knaus L, Tarlungeanu D-C, Novarino G. S.16.03 A homozygous missense mutation
in SLC7A5 leads to autism spectrum disorder and microcephaly. European Neuropsychopharmacology.
2019;29(Supplement 6):S11. doi:10.1016/j.euroneuro.2019.09.039
apa: Knaus, L., Tarlungeanu, D.-C., & Novarino, G. (2019). S.16.03 A homozygous
missense mutation in SLC7A5 leads to autism spectrum disorder and microcephaly.
European Neuropsychopharmacology. Elsevier. https://doi.org/10.1016/j.euroneuro.2019.09.039
chicago: Knaus, Lisa, Dora-Clara Tarlungeanu, and Gaia Novarino. “S.16.03 A Homozygous
Missense Mutation in SLC7A5 Leads to Autism Spectrum Disorder and Microcephaly.”
European Neuropsychopharmacology. Elsevier, 2019. https://doi.org/10.1016/j.euroneuro.2019.09.039.
ieee: L. Knaus, D.-C. Tarlungeanu, and G. Novarino, “S.16.03 A homozygous missense
mutation in SLC7A5 leads to autism spectrum disorder and microcephaly,” European
Neuropsychopharmacology, vol. 29, no. Supplement 6. Elsevier, p. S11, 2019.
ista: Knaus L, Tarlungeanu D-C, Novarino G. 2019. S.16.03 A homozygous missense
mutation in SLC7A5 leads to autism spectrum disorder and microcephaly. European
Neuropsychopharmacology. 29(Supplement 6), S11.
mla: Knaus, Lisa, et al. “S.16.03 A Homozygous Missense Mutation in SLC7A5 Leads
to Autism Spectrum Disorder and Microcephaly.” European Neuropsychopharmacology,
vol. 29, no. Supplement 6, Elsevier, 2019, p. S11, doi:10.1016/j.euroneuro.2019.09.039.
short: L. Knaus, D.-C. Tarlungeanu, G. Novarino, European Neuropsychopharmacology
29 (2019) S11.
date_created: 2020-01-30T10:06:15Z
date_published: 2019-12-13T00:00:00Z
date_updated: 2023-09-07T14:55:23Z
day: '13'
department:
- _id: GaNo
doi: 10.1016/j.euroneuro.2019.09.039
external_id:
isi:
- '000502657500020'
intvolume: ' 29'
isi: 1
issue: Supplement 6
language:
- iso: eng
month: '12'
oa_version: None
page: S11
publication: European Neuropsychopharmacology
publication_identifier:
issn:
- 0924-977X
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: S.16.03 A homozygous missense mutation in SLC7A5 leads to autism spectrum disorder
and microcephaly
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 29
year: '2019'
...
---
_id: '7394'
article_processing_charge: No
article_type: letter_note
author:
- first_name: Eva
full_name: Benková, Eva
id: 38F4F166-F248-11E8-B48F-1D18A9856A87
last_name: Benková
orcid: 0000-0002-8510-9739
- first_name: Yasin
full_name: Dagdas, Yasin
last_name: Dagdas
citation:
ama: 'Benková E, Dagdas Y. Editorial overview: Cell biology in the era of omics?
Current Opinion in Plant Biology. 2019;52(12):A1-A2. doi:10.1016/j.pbi.2019.11.002'
apa: 'Benková, E., & Dagdas, Y. (2019). Editorial overview: Cell biology in
the era of omics? Current Opinion in Plant Biology. Elsevier. https://doi.org/10.1016/j.pbi.2019.11.002'
chicago: 'Benková, Eva, and Yasin Dagdas. “Editorial Overview: Cell Biology in the
Era of Omics?” Current Opinion in Plant Biology. Elsevier, 2019. https://doi.org/10.1016/j.pbi.2019.11.002.'
ieee: 'E. Benková and Y. Dagdas, “Editorial overview: Cell biology in the era of
omics?,” Current Opinion in Plant Biology, vol. 52, no. 12. Elsevier, pp.
A1–A2, 2019.'
ista: 'Benková E, Dagdas Y. 2019. Editorial overview: Cell biology in the era of
omics? Current Opinion in Plant Biology. 52(12), A1–A2.'
mla: 'Benková, Eva, and Yasin Dagdas. “Editorial Overview: Cell Biology in the Era
of Omics?” Current Opinion in Plant Biology, vol. 52, no. 12, Elsevier,
2019, pp. A1–2, doi:10.1016/j.pbi.2019.11.002.'
short: E. Benková, Y. Dagdas, Current Opinion in Plant Biology 52 (2019) A1–A2.
date_created: 2020-01-29T16:00:07Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-07T14:56:55Z
day: '01'
department:
- _id: EvBe
doi: 10.1016/j.pbi.2019.11.002
external_id:
isi:
- '000502890600001'
pmid:
- '31787165'
intvolume: ' 52'
isi: 1
issue: '12'
language:
- iso: eng
month: '12'
oa_version: None
page: A1-A2
pmid: 1
publication: Current Opinion in Plant Biology
publication_identifier:
issn:
- 1369-5266
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Editorial overview: Cell biology in the era of omics?'
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 52
year: '2019'
...
---
_id: '7479'
abstract:
- lang: eng
text: "Multi-exit architectures, in which a stack of processing layers is interleaved
with early output layers, allow the processing of a test example to stop early
and thus save computation time and/or energy. In this work, we propose a new
training procedure for multi-exit architectures based on the principle of knowledge
distillation. The method encourage searly exits to mimic later, more accurate
exits, by matching their output probabilities.\r\nExperiments on CIFAR100 and
\ ImageNet show that distillation-based training significantly improves the
accuracy of early exits while maintaining state-of-the-art accuracy for late
\ ones. The method is particularly beneficial when training data is limited
\ and it allows a straightforward extension to semi-supervised learning,i.e.
making use of unlabeled data at training time. Moreover, it takes only afew lines
to implement and incurs almost no computational overhead at training time, and
none at all at test time."
article_processing_charge: No
author:
- first_name: Phuong
full_name: Bui Thi Mai, Phuong
id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87
last_name: Bui Thi Mai
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Phuong M, Lampert C. Distillation-based training for multi-exit architectures.
In: IEEE International Conference on Computer Vision. Vol 2019-October.
IEEE; 2019:1355-1364. doi:10.1109/ICCV.2019.00144'
apa: 'Phuong, M., & Lampert, C. (2019). Distillation-based training for multi-exit
architectures. In IEEE International Conference on Computer Vision (Vol.
2019–October, pp. 1355–1364). Seoul, Korea: IEEE. https://doi.org/10.1109/ICCV.2019.00144'
chicago: Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit
Architectures.” In IEEE International Conference on Computer Vision, 2019–October:1355–64.
IEEE, 2019. https://doi.org/10.1109/ICCV.2019.00144.
ieee: M. Phuong and C. Lampert, “Distillation-based training for multi-exit architectures,”
in IEEE International Conference on Computer Vision, Seoul, Korea, 2019,
vol. 2019–October, pp. 1355–1364.
ista: 'Phuong M, Lampert C. 2019. Distillation-based training for multi-exit architectures.
IEEE International Conference on Computer Vision. ICCV: International Conference
on Computer Vision vol. 2019–October, 1355–1364.'
mla: Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit
Architectures.” IEEE International Conference on Computer Vision, vol.
2019–October, IEEE, 2019, pp. 1355–64, doi:10.1109/ICCV.2019.00144.
short: M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision,
IEEE, 2019, pp. 1355–1364.
conference:
end_date: 2019-11-02
location: Seoul, Korea
name: 'ICCV: International Conference on Computer Vision'
start_date: 2019-10-27
date_created: 2020-02-11T09:06:57Z
date_published: 2019-10-01T00:00:00Z
date_updated: 2023-09-08T11:11:12Z
day: '01'
ddc:
- '000'
department:
- _id: ChLa
doi: 10.1109/ICCV.2019.00144
ec_funded: 1
external_id:
isi:
- '000531438101047'
file:
- access_level: open_access
checksum: 7b77fb5c2d27c4c37a7612ba46a66117
content_type: application/pdf
creator: bphuong
date_created: 2020-02-11T09:06:39Z
date_updated: 2020-07-14T12:47:59Z
file_id: '7480'
file_name: main.pdf
file_size: 735768
relation: main_file
file_date_updated: 2020-07-14T12:47:59Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 1355-1364
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
publication: IEEE International Conference on Computer Vision
publication_identifier:
isbn:
- '9781728148038'
issn:
- '15505499'
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
record:
- id: '9418'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Distillation-based training for multi-exit architectures
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2019-October
year: '2019'
...
---
_id: '7542'
abstract:
- lang: eng
text: We present a novel class of convolutional neural networks (CNNs) for set functions,i.e.,
data indexed with the powerset of a finite set. The convolutions are derivedas
linear, shift-equivariant functions for various notions of shifts on set functions.The
framework is fundamentally different from graph convolutions based on theLaplacian,
as it provides not one but several basic shifts, one for each element inthe ground
set. Prototypical experiments with several set function classificationtasks on
synthetic datasets and on datasets derived from real-world hypergraphsdemonstrate
the potential of our new powerset CNNs.
article_processing_charge: No
author:
- first_name: Chris
full_name: Wendler, Chris
last_name: Wendler
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
- first_name: Markus
full_name: Püschel, Markus
last_name: Püschel
citation:
ama: 'Wendler C, Alistarh D-A, Püschel M. Powerset convolutional neural networks.
In: Vol 32. Neural Information Processing Systems Foundation; 2019:927-938.'
apa: 'Wendler, C., Alistarh, D.-A., & Püschel, M. (2019). Powerset convolutional
neural networks (Vol. 32, pp. 927–938). Presented at the NIPS: Conference on Neural
Information Processing Systems, Vancouver, Canada: Neural Information Processing
Systems Foundation.'
chicago: Wendler, Chris, Dan-Adrian Alistarh, and Markus Püschel. “Powerset Convolutional
Neural Networks,” 32:927–38. Neural Information Processing Systems Foundation,
2019.
ieee: 'C. Wendler, D.-A. Alistarh, and M. Püschel, “Powerset convolutional neural
networks,” presented at the NIPS: Conference on Neural Information Processing
Systems, Vancouver, Canada, 2019, vol. 32, pp. 927–938.'
ista: 'Wendler C, Alistarh D-A, Püschel M. 2019. Powerset convolutional neural networks.
NIPS: Conference on Neural Information Processing Systems vol. 32, 927–938.'
mla: Wendler, Chris, et al. Powerset Convolutional Neural Networks. Vol.
32, Neural Information Processing Systems Foundation, 2019, pp. 927–38.
short: C. Wendler, D.-A. Alistarh, M. Püschel, in:, Neural Information Processing
Systems Foundation, 2019, pp. 927–938.
conference:
end_date: 2019-12-14
location: Vancouver, Canada
name: 'NIPS: Conference on Neural Information Processing Systems'
start_date: 2019-12-08
date_created: 2020-02-28T10:03:24Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-08T11:13:52Z
day: '01'
department:
- _id: DaAl
ec_funded: 1
external_id:
arxiv:
- '1909.02253'
isi:
- '000534424300084'
intvolume: ' 32'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://papers.nips.cc/paper/8379-powerset-convolutional-neural-networks
month: '12'
oa: 1
oa_version: Published Version
page: 927-938
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication_identifier:
issn:
- 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
status: public
title: Powerset convolutional neural networks
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 32
year: '2019'
...