---
_id: '7468'
abstract:
- lang: eng
text: We present a new proximal bundle method for Maximum-A-Posteriori (MAP) inference
in structured energy minimization problems. The method optimizes a Lagrangean
relaxation of the original energy minimization problem using a multi plane block-coordinate
Frank-Wolfe method that takes advantage of the specific structure of the Lagrangean
decomposition. We show empirically that our method outperforms state-of-the-art
Lagrangean decomposition based algorithms on some challenging Markov Random Field,
multi-label discrete tomography and graph matching problems.
article_number: 11138-11147
article_processing_charge: No
author:
- first_name: Paul
full_name: Swoboda, Paul
id: 446560C6-F248-11E8-B48F-1D18A9856A87
last_name: Swoboda
- first_name: Vladimir
full_name: Kolmogorov, Vladimir
id: 3D50B0BA-F248-11E8-B48F-1D18A9856A87
last_name: Kolmogorov
citation:
ama: 'Swoboda P, Kolmogorov V. Map inference via block-coordinate Frank-Wolfe algorithm.
In: Proceedings of the IEEE Computer Society Conference on Computer Vision
and Pattern Recognition. Vol 2019-June. IEEE; 2019. doi:10.1109/CVPR.2019.01140'
apa: 'Swoboda, P., & Kolmogorov, V. (2019). Map inference via block-coordinate
Frank-Wolfe algorithm. In Proceedings of the IEEE Computer Society Conference
on Computer Vision and Pattern Recognition (Vol. 2019–June). Long Beach, CA,
United States: IEEE. https://doi.org/10.1109/CVPR.2019.01140'
chicago: Swoboda, Paul, and Vladimir Kolmogorov. “Map Inference via Block-Coordinate
Frank-Wolfe Algorithm.” In Proceedings of the IEEE Computer Society Conference
on Computer Vision and Pattern Recognition, Vol. 2019–June. IEEE, 2019. https://doi.org/10.1109/CVPR.2019.01140.
ieee: P. Swoboda and V. Kolmogorov, “Map inference via block-coordinate Frank-Wolfe
algorithm,” in Proceedings of the IEEE Computer Society Conference on Computer
Vision and Pattern Recognition, Long Beach, CA, United States, 2019, vol.
2019–June.
ista: 'Swoboda P, Kolmogorov V. 2019. Map inference via block-coordinate Frank-Wolfe
algorithm. Proceedings of the IEEE Computer Society Conference on Computer Vision
and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition
vol. 2019–June, 11138–11147.'
mla: Swoboda, Paul, and Vladimir Kolmogorov. “Map Inference via Block-Coordinate
Frank-Wolfe Algorithm.” Proceedings of the IEEE Computer Society Conference
on Computer Vision and Pattern Recognition, vol. 2019–June, 11138–11147, IEEE,
2019, doi:10.1109/CVPR.2019.01140.
short: P. Swoboda, V. Kolmogorov, in:, Proceedings of the IEEE Computer Society
Conference on Computer Vision and Pattern Recognition, IEEE, 2019.
conference:
end_date: 2019-06-20
location: Long Beach, CA, United States
name: 'CVPR: Conference on Computer Vision and Pattern Recognition'
start_date: 2019-06-15
date_created: 2020-02-09T23:00:52Z
date_published: 2019-06-01T00:00:00Z
date_updated: 2023-09-07T14:54:24Z
day: '01'
department:
- _id: VlKo
doi: 10.1109/CVPR.2019.01140
ec_funded: 1
external_id:
arxiv:
- '1806.05049'
isi:
- '000542649304076'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1806.05049
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 25FBA906-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '616160'
name: 'Discrete Optimization in Computer Vision: Theory and Practice'
publication: Proceedings of the IEEE Computer Society Conference on Computer Vision
and Pattern Recognition
publication_identifier:
isbn:
- '9781728132938'
issn:
- '10636919'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Map inference via block-coordinate Frank-Wolfe algorithm
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2019-June
year: '2019'
...
---
_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'
...
---
_id: '7513'
abstract:
- lang: eng
text: 'Social insects (i.e., ants, termites and the social bees and wasps) protect
their colonies from disease using a combination of individual immunity and collectively
performed defenses, termed social immunity. The first line of social immune defense
is sanitary care, which is performed by colony members to protect their pathogen-exposed
nestmates from developing an infection. If sanitary care fails and an infection
becomes established, a second line of social immune defense is deployed to stop
disease transmission within the colony and to protect the valuable queens, which
together with the males are the reproductive individuals of the colony. Insect
colonies are separated into these reproductive individuals and the sterile worker
force, forming a superorganismal reproductive unit reminiscent of the differentiated
germline and soma in a multicellular organism. Ultimately, the social immune response
preserves the germline of the superorganism insect colony and increases overall
fitness of the colony in case of disease. '
article_processing_charge: No
author:
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
- first_name: Megan
full_name: Kutzer, Megan
id: 29D0B332-F248-11E8-B48F-1D18A9856A87
last_name: Kutzer
orcid: 0000-0002-8696-6978
citation:
ama: 'Cremer S, Kutzer M. Social immunity. In: Choe J, ed. Encyclopedia of Animal
Behavior. 2nd ed. Elsevier; 2019:747-755. doi:10.1016/B978-0-12-809633-8.90721-0'
apa: Cremer, S., & Kutzer, M. (2019). Social immunity. In J. Choe (Ed.), Encyclopedia
of Animal Behavior (2nd ed., pp. 747–755). Elsevier. https://doi.org/10.1016/B978-0-12-809633-8.90721-0
chicago: Cremer, Sylvia, and Megan Kutzer. “Social Immunity.” In Encyclopedia
of Animal Behavior, edited by Jae Choe, 2nd ed., 747–55. Elsevier, 2019. https://doi.org/10.1016/B978-0-12-809633-8.90721-0.
ieee: S. Cremer and M. Kutzer, “Social immunity,” in Encyclopedia of Animal Behavior,
2nd ed., J. Choe, Ed. Elsevier, 2019, pp. 747–755.
ista: 'Cremer S, Kutzer M. 2019.Social immunity. In: Encyclopedia of Animal Behavior.
, 747–755.'
mla: Cremer, Sylvia, and Megan Kutzer. “Social Immunity.” Encyclopedia of Animal
Behavior, edited by Jae Choe, 2nd ed., Elsevier, 2019, pp. 747–55, doi:10.1016/B978-0-12-809633-8.90721-0.
short: S. Cremer, M. Kutzer, in:, J. Choe (Ed.), Encyclopedia of Animal Behavior,
2nd ed., Elsevier, 2019, pp. 747–755.
date_created: 2020-02-23T23:00:36Z
date_published: 2019-02-06T00:00:00Z
date_updated: 2023-09-08T11:12:04Z
day: '06'
department:
- _id: SyCr
doi: 10.1016/B978-0-12-809633-8.90721-0
edition: '2'
editor:
- first_name: Jae
full_name: Choe, Jae
last_name: Choe
external_id:
isi:
- '000248989500026'
isi: 1
language:
- iso: eng
month: '02'
oa_version: None
page: 747-755
publication: Encyclopedia of Animal Behavior
publication_identifier:
eisbn:
- '9780128132524'
isbn:
- '9780128132517'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Social immunity
type: book_chapter
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '9261'
abstract:
- lang: eng
text: 'Bending-active structures are able to efficiently produce complex curved
shapes starting from flat panels. The desired deformation of the panels derives
from the proper selection of their elastic properties. Optimized panels, called
FlexMaps, are designed such that, once they are bent and assembled, the resulting
static equilibrium configuration matches a desired input 3D shape. The FlexMaps
elastic properties are controlled by locally varying spiraling geometric mesostructures,
which are optimized in size and shape to match the global curvature (i.e., bending
requests) of the target shape. The design pipeline starts from a quad mesh representing
the input 3D shape, which defines the edge size and the total amount of spirals:
every quad will embed one spiral. Then, an optimization algorithm tunes the geometry
of the spirals by using a simplified pre-computed rod model. This rod model is
derived from a non-linear regression algorithm which approximates the non-linear
behavior of solid FEM spiral models subject to hundreds of load combinations.
This innovative pipeline has been applied to the project of a lightweight plywood
pavilion named FlexMaps Pavilion, which is a single-layer piecewise twisted arc
that fits a bounding box of 3.90x3.96x3.25 meters.'
article_processing_charge: No
author:
- first_name: Francesco
full_name: Laccone, Francesco
last_name: Laccone
- first_name: Luigi
full_name: Malomo, Luigi
last_name: Malomo
- first_name: Jesus
full_name: Perez Rodriguez, Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- first_name: Nico
full_name: Pietroni, Nico
last_name: Pietroni
- first_name: Federico
full_name: Ponchio, Federico
last_name: Ponchio
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Paolo
full_name: Cignoni, Paolo
last_name: Cignoni
citation:
ama: 'Laccone F, Malomo L, Perez Rodriguez J, et al. FlexMaps Pavilion: A twisted
arc made of mesostructured flat flexible panels. In: IASS Symposium 2019 -
60th Anniversary Symposium of the International Association for Shell and Spatial
Structures; Structural Membranes 2019 - 9th International Conference on Textile
Composites and Inflatable Structures, FORM and FORCE. International Center
for Numerical Methods in Engineering; 2019:509-515.'
apa: 'Laccone, F., Malomo, L., Perez Rodriguez, J., Pietroni, N., Ponchio, F., Bickel,
B., & Cignoni, P. (2019). FlexMaps Pavilion: A twisted arc made of mesostructured
flat flexible panels. In IASS Symposium 2019 - 60th Anniversary Symposium of
the International Association for Shell and Spatial Structures; Structural Membranes
2019 - 9th International Conference on Textile Composites and Inflatable Structures,
FORM and FORCE (pp. 509–515). Barcelona, Spain: International Center for Numerical
Methods in Engineering.'
chicago: 'Laccone, Francesco, Luigi Malomo, Jesus Perez Rodriguez, Nico Pietroni,
Federico Ponchio, Bernd Bickel, and Paolo Cignoni. “FlexMaps Pavilion: A Twisted
Arc Made of Mesostructured Flat Flexible Panels.” In IASS Symposium 2019 -
60th Anniversary Symposium of the International Association for Shell and Spatial
Structures; Structural Membranes 2019 - 9th International Conference on Textile
Composites and Inflatable Structures, FORM and FORCE, 509–15. International
Center for Numerical Methods in Engineering, 2019.'
ieee: 'F. Laccone et al., “FlexMaps Pavilion: A twisted arc made of mesostructured
flat flexible panels,” in IASS Symposium 2019 - 60th Anniversary Symposium
of the International Association for Shell and Spatial Structures; Structural
Membranes 2019 - 9th International Conference on Textile Composites and Inflatable
Structures, FORM and FORCE, Barcelona, Spain, 2019, pp. 509–515.'
ista: 'Laccone F, Malomo L, Perez Rodriguez J, Pietroni N, Ponchio F, Bickel B,
Cignoni P. 2019. FlexMaps Pavilion: A twisted arc made of mesostructured flat
flexible panels. IASS Symposium 2019 - 60th Anniversary Symposium of the International
Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th
International Conference on Textile Composites and Inflatable Structures, FORM
and FORCE. IASS: International Association for Shell and Spatial Structures, 509–515.'
mla: 'Laccone, Francesco, et al. “FlexMaps Pavilion: A Twisted Arc Made of Mesostructured
Flat Flexible Panels.” IASS Symposium 2019 - 60th Anniversary Symposium of
the International Association for Shell and Spatial Structures; Structural Membranes
2019 - 9th International Conference on Textile Composites and Inflatable Structures,
FORM and FORCE, International Center for Numerical Methods in Engineering,
2019, pp. 509–15.'
short: F. Laccone, L. Malomo, J. Perez Rodriguez, N. Pietroni, F. Ponchio, B. Bickel,
P. Cignoni, in:, IASS Symposium 2019 - 60th Anniversary Symposium of the International
Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th
International Conference on Textile Composites and Inflatable Structures, FORM
and FORCE, International Center for Numerical Methods in Engineering, 2019, pp.
509–515.
conference:
end_date: 2019-10-10
location: Barcelona, Spain
name: 'IASS: International Association for Shell and Spatial Structures'
start_date: 2019-10-07
date_created: 2021-03-21T23:01:21Z
date_published: 2019-10-10T00:00:00Z
date_updated: 2023-09-08T11:21:54Z
day: '10'
department:
- _id: BeBi
external_id:
isi:
- '000563497600059'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 509-515
publication: IASS Symposium 2019 - 60th Anniversary Symposium of the International
Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International
Conference on Textile Composites and Inflatable Structures, FORM and FORCE
publication_identifier:
isbn:
- '9788412110104'
issn:
- 2518-6582
publication_status: published
publisher: International Center for Numerical Methods in Engineering
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels'
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '7640'
abstract:
- lang: eng
text: We propose a new model for detecting visual relationships, such as "person
riding motorcycle" or "bottle on table". This task is an important step towards
comprehensive structured mage understanding, going beyond detecting individual
objects. Our main novelty is a Box Attention mechanism that allows to model pairwise
interactions between objects using standard object detection pipelines. The resulting
model is conceptually clean, expressive and relies on well-justified training
and prediction procedures. Moreover, unlike previously proposed approaches, our
model does not introduce any additional complex components or hyperparameters
on top of those already required by the underlying detection model. We conduct
an experimental evaluation on two datasets, V-COCO and Open Images, demonstrating
strong quantitative and qualitative results.
article_number: 1749-1753
article_processing_charge: No
author:
- first_name: Alexander
full_name: Kolesnikov, Alexander
id: 2D157DB6-F248-11E8-B48F-1D18A9856A87
last_name: Kolesnikov
- first_name: Alina
full_name: Kuznetsova, Alina
last_name: Kuznetsova
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
- first_name: Vittorio
full_name: Ferrari, Vittorio
last_name: Ferrari
citation:
ama: 'Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. Detecting visual relationships
using box attention. In: Proceedings of the 2019 International Conference on
Computer Vision Workshop. IEEE; 2019. doi:10.1109/ICCVW.2019.00217'
apa: 'Kolesnikov, A., Kuznetsova, A., Lampert, C., & Ferrari, V. (2019). Detecting
visual relationships using box attention. In Proceedings of the 2019 International
Conference on Computer Vision Workshop. Seoul, South Korea: IEEE. https://doi.org/10.1109/ICCVW.2019.00217'
chicago: Kolesnikov, Alexander, Alina Kuznetsova, Christoph Lampert, and Vittorio
Ferrari. “Detecting Visual Relationships Using Box Attention.” In Proceedings
of the 2019 International Conference on Computer Vision Workshop. IEEE, 2019.
https://doi.org/10.1109/ICCVW.2019.00217.
ieee: A. Kolesnikov, A. Kuznetsova, C. Lampert, and V. Ferrari, “Detecting visual
relationships using box attention,” in Proceedings of the 2019 International
Conference on Computer Vision Workshop, Seoul, South Korea, 2019.
ista: 'Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. 2019. Detecting visual
relationships using box attention. Proceedings of the 2019 International Conference
on Computer Vision Workshop. ICCVW: International Conference on Computer Vision
Workshop, 1749–1753.'
mla: Kolesnikov, Alexander, et al. “Detecting Visual Relationships Using Box Attention.”
Proceedings of the 2019 International Conference on Computer Vision Workshop,
1749–1753, IEEE, 2019, doi:10.1109/ICCVW.2019.00217.
short: A. Kolesnikov, A. Kuznetsova, C. Lampert, V. Ferrari, in:, Proceedings of
the 2019 International Conference on Computer Vision Workshop, IEEE, 2019.
conference:
end_date: 2019-10-28
location: Seoul, South Korea
name: 'ICCVW: International Conference on Computer Vision Workshop'
start_date: 2019-10-27
date_created: 2020-04-05T22:00:51Z
date_published: 2019-10-01T00:00:00Z
date_updated: 2023-09-08T11:18:37Z
day: '01'
department:
- _id: ChLa
doi: 10.1109/ICCVW.2019.00217
ec_funded: 1
external_id:
arxiv:
- '1807.02136'
isi:
- '000554591601098'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1807.02136
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
publication: Proceedings of the 2019 International Conference on Computer Vision Workshop
publication_identifier:
isbn:
- '9781728150239'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Detecting visual relationships using box attention
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '7639'
abstract:
- lang: eng
text: Deep neural networks (DNNs) have become increasingly important due to their
excellent empirical performance on a wide range of problems. However, regularization
is generally achieved by indirect means, largely due to the complex set of functions
defined by a network and the difficulty in measuring function complexity. There
exists no method in the literature for additive regularization based on a norm
of the function, as is classically considered in statistical learning theory.
In this work, we study the tractability of function norms for deep neural networks
with ReLU activations. We provide, to the best of our knowledge, the first proof
in the literature of the NP-hardness of computing function norms of DNNs of 3
or more layers. We also highlight a fundamental difference between shallow and
deep networks. In the light on these results, we propose a new regularization
strategy based on approximate function norms, and show its efficiency on a segmentation
task with a DNN.
article_number: 748-752
article_processing_charge: No
author:
- first_name: Amal
full_name: Rannen-Triki, Amal
last_name: Rannen-Triki
- first_name: Maxim
full_name: Berman, Maxim
last_name: Berman
- first_name: Vladimir
full_name: Kolmogorov, Vladimir
id: 3D50B0BA-F248-11E8-B48F-1D18A9856A87
last_name: Kolmogorov
- first_name: Matthew B.
full_name: Blaschko, Matthew B.
last_name: Blaschko
citation:
ama: 'Rannen-Triki A, Berman M, Kolmogorov V, Blaschko MB. Function norms for neural
networks. In: Proceedings of the 2019 International Conference on Computer
Vision Workshop. IEEE; 2019. doi:10.1109/ICCVW.2019.00097'
apa: 'Rannen-Triki, A., Berman, M., Kolmogorov, V., & Blaschko, M. B. (2019).
Function norms for neural networks. In Proceedings of the 2019 International
Conference on Computer Vision Workshop. Seoul, South Korea: IEEE. https://doi.org/10.1109/ICCVW.2019.00097'
chicago: Rannen-Triki, Amal, Maxim Berman, Vladimir Kolmogorov, and Matthew B. Blaschko.
“Function Norms for Neural Networks.” In Proceedings of the 2019 International
Conference on Computer Vision Workshop. IEEE, 2019. https://doi.org/10.1109/ICCVW.2019.00097.
ieee: A. Rannen-Triki, M. Berman, V. Kolmogorov, and M. B. Blaschko, “Function norms
for neural networks,” in Proceedings of the 2019 International Conference on
Computer Vision Workshop, Seoul, South Korea, 2019.
ista: 'Rannen-Triki A, Berman M, Kolmogorov V, Blaschko MB. 2019. Function norms
for neural networks. Proceedings of the 2019 International Conference on Computer
Vision Workshop. ICCVW: International Conference on Computer Vision Workshop,
748–752.'
mla: Rannen-Triki, Amal, et al. “Function Norms for Neural Networks.” Proceedings
of the 2019 International Conference on Computer Vision Workshop, 748–752,
IEEE, 2019, doi:10.1109/ICCVW.2019.00097.
short: A. Rannen-Triki, M. Berman, V. Kolmogorov, M.B. Blaschko, in:, Proceedings
of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019.
conference:
end_date: 2019-10-28
location: Seoul, South Korea
name: 'ICCVW: International Conference on Computer Vision Workshop'
start_date: 2019-10-27
date_created: 2020-04-05T22:00:50Z
date_published: 2019-10-01T00:00:00Z
date_updated: 2023-09-08T11:19:12Z
day: '01'
department:
- _id: VlKo
doi: 10.1109/ICCVW.2019.00097
external_id:
isi:
- '000554591600090'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
publication: Proceedings of the 2019 International Conference on Computer Vision Workshop
publication_identifier:
isbn:
- '9781728150239'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Function norms for neural networks
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...