La recherche joue un rôle majeur dans le domaine du Machine Learning. Avec des publications de premier ordre chaque année, l’EPFL jouit d’une excellente réputation.


Deep eyes: Joint depth inference using monocular and binocular cues

Z. Chen; X. Guo; S. Li; Y. Yang; J. Yu 

Neurocomputing. 2021-09-17. Vol. 453, p. 812-824. DOI : 10.1016/j.neucom.2020.06.132.

Physics Informed Neural Networks for Surrogate Modelling and Inverse Problems in Geotechnics

N. Olsen 


Personalized Real-Time Federated Learning for Epileptic Seizure Detection

S. Baghersalimi; T. Teijeiro; D. Atienza; A. Aminifar 

IEEE Journal of Biomedical and Health Informatics. 2021-07-09.  p. 1-1. DOI : 10.1109/JBHI.2021.3096127.

Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction

L. Palmieri; R. Andrey; J. Mainprice; M. Hanheide; A. Alahi et al. 

Ieee Robotics And Automation Letters. 2021-07-01. Vol. 6, num. 3, p. 5613-5617. DOI : 10.1109/LRA.2021.3077964.

Toward a Collective Agenda on AI for Earth Science Data Analysis

D. Tuia; R. Roscher; J. D. Wegner; N. Jacobs; X. Zhu et al. 

IEEE Geoscience and Remote Sensing Magazine. 2021-06-16. Vol. 9, num. 2, p. 88-104. DOI : 10.1109/MGRS.2020.3043504.

How isotropic kernels perform on simple invariants

J. Paccolat; S. Spigler; M. Wyart 

Machine Learning-Science And Technology. 2021-06-01. Vol. 2, num. 2, p. 025020. DOI : 10.1088/2632-2153/abd485.

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features

Q. Juppet; F. De Martino; E. Marcandalli; M. Weigert; O. Burri et al. 

Journal of Mammary Gland Biology and Neoplasia. 2021-05-17. DOI : 10.1007/s10911-021-09485-4.

Tensor Methods in Computer Vision and Deep Learning

Y. Panagakis; J. Kossaifi; G. G. Chrysos; J. Oldfield; M. A. Nicolaou et al. 

Proceedings Of The Ieee. 2021-05-01. Vol. 109, num. 5, p. 863-890. DOI : 10.1109/JPROC.2021.3074329.

Beyond Tolerance Factor: Using Deep Learning for Prediction Formability of ABX3 Perovskite Structures

A. E. Fedorovskiy; V. I. E. Queloz; M. K. Nazeeruddin 

Advanced Theory and Simulations. 2021-05. Vol. 4, num. 5, p. 2100021. DOI : 10.1002/adts.202100021.

Deep learning-enhanced light-field imaging with continuous validation

N. Wagner; F. Beuttenmueller; N. Norlin; J. Gierten; J. C. Boffi et al. 

Nature Methods. 2021-05-01. Vol. 18, num. 5, p. 557-+. DOI : 10.1038/s41592-021-01136-0.

ResLogit: A residual neural network logit model for data-driven choice modelling

M. Wong; B. Farooq 

Transportation Research Part C-Emerging Technologies. 2021-05-01. Vol. 126, p. 103050. DOI : 10.1016/j.trc.2021.103050.

Interpreting deep learning models for epileptic seizure detection on EEG signals

V. Gabeff; T. Teijeiro; M. Zapater; L. Cammoun; S. Rheims et al. 

Artificial Intelligence in Medicine. 2021-05-01. Vol. 117, p. 102084. DOI : 10.1016/j.artmed.2021.102084.

Une approche computationnelle du cadastre napoléonien de Venise

I. Di Lenardo; R. Barman; F. Pardini; F. Kaplan 

Humanités numériques. 2021-05-01. Vol. 3/2021, num. 3. DOI : 10.4000/revuehn.1786.

Landscape and training regimes in deep learning

M. Geiger; L. Petrini; M. Wyart 

Physics Reports. 2021-04-16. Vol. 924, p. 1-18. DOI : 10.1016/j.physrep.2021.04.001.

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning

D. M. Mason; S. Friedensohn; C. R. Weber; C. Jordi; B. Wagner et al. 

Nature Biomedical Engineering. 2021-04-15. DOI : 10.1038/s41551-021-00699-9.

Automation of the diagnosis process in the railway system : Detection of defects in concrete sleepers using vision-based machine learning models

L. Charif 


GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation

P-J. Lu; M. Barakovic; M. Weigel; R. Rahmanzadeh; R. Galbusera et al. 

Frontiers In Neuroscience. 2021-04-06. Vol. 15, p. 647535. DOI : 10.3389/fnins.2021.647535.

Geometric compression of invariant manifolds in neural networks

J. Paccolat; L. Petrini; M. Geiger; K. Tyloo; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2021-04-01. Vol. 2021, num. 4, p. 044001. DOI : 10.1088/1742-5468/abf1f3.

Plasma confinement mode classification using a sequence-to-sequence neural network with attention

F. Matos; V. Menkovski; A. Pau; G. Marceca; F. Jenko 

Nuclear Fusion. 2021-04-01. Vol. 61, num. 4, p. 046019. DOI : 10.1088/1741-4326/abe370.

On the benefits of robust models in modulation recognition

J. A. Maroto Morales; G. Bovet; P. Frossard 

2021-03-27. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, Orlando, Florida, USA, April 11-15, 2021.

Predicting optical transmission through complex scattering media from reflection patterns with deep neural networks

K. Skarsoulis; E. Kakkava; D. Psaltis 

Optics Communications. 2021-03-26. Vol. 492, p. 126968. DOI : 10.1016/j.optcom.2021.126968.

Multi-pronged neuromodulation intervention engages the residual motor circuitry to facilitate walking in a rat model of spinal cord injury

M. Bonizzato; N. D. James; G. Pidpruzhnykova; N. Pavlova; P. Shkorbatova et al. 

Nature Communications. 2021-03-26. Vol. 12, num. 1, p. 1925. DOI : 10.1038/s41467-021-22137-9.

Perceiving Humans: from Monocular 3D Localization to Social Distancing

L. Bertoni; S. Kreiss; A. Alahi 

IEEE Transactions on Intelligent Transportation Systems. 2021-03-25. DOI : 10.1109/TITS.2021.3069376.

Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study

A. Glangetas; M-A. Hartley; A. Cantais; D. S. Courvoisier; D. Rivollet et al. 

Bmc Pulmonary Medicine. 2021-03-24. Vol. 21, num. 1, p. 103. DOI : 10.1186/s12890-021-01467-w.

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

L. Bertoni; S. Kreiss; T. Mordan; A. Alahi 

2021-03-22. International Conference on Robotics and Automation (ICRA), Xi’an, China, June 1-6, 2021.

On the effectiveness of adversarial training against common corruptions

K. Kireev; M. Andriushchenko; N. Flammarion 


Deep learning tools for the analysis of movement, identity and behavior

A. Mathis 

2021-03-01. Annual Meeting of the Society-for-Integrative-and-Comparative-Biology (SICB), ELECTR NETWORK, Jan 31-Feb 28, 2021. p. E581-E582.

CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking

D. Perdios; M. Vonlanthen; F. Martinez; M. Arditi; J-P. Thiran 

Ieee Transactions On Medical Imaging. 2021-03-01. Vol. 40, num. 3, p. 1078-1089. DOI : 10.1109/TMI.2020.3046700.

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification

S. Hao; W. Wang; M. Salzmann 

IEEE Transactions On Geoscience And Remote Sensing. 2021-03-01. Vol. 59, num. 3, p. 2448-2460. DOI : 10.1109/TGRS.2020.3005623.

Infrared Metasurface Augmented by Deep Learning for Monitoring Dynamics between All Major Classes of Biomolecules

A. John-Herpin; D. Kavungal; L. von Mucke; H. Altug 

Advanced Materials. 2021-02-22.  p. 2006054. DOI : 10.1002/adma.202006054.

Generalization Comparison of Deep Neural Networks via Output Sensitivity

M. Forouzesh; F. Salehi; P. Thiran 

2021-01-10. 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. DOI : 10.1109/ICPR48806.2021.9412496.

From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search

K. Yu / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2021. 

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

A. Ramezani-Kebrya; F. Faghri; I. Markov; V. Aksenov; D. Alistarh et al. 

Journal Of Machine Learning Research. 2021-01-01. Vol. 22, p. 114.

The digitalization of energy systems: towards higher energy efficiency

M. Dorokhova / C. Ballif; N. Würsch (Dir.)  

Lausanne, EPFL, 2021. 

PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers

F. Yu; M. Salzmann; P. Fua; H. Rhodin 

2021. Conference on Computer Vision and Pattern Recognition (CVPR), Online, June 19-25, 2021.

Ultrasound Imaging: From Physical Modeling to Deep Learning

D. Perdios / J-P. Thiran (Dir.)  

Lausanne, EPFL, 2021. 

Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts

M. Testolina; E. Upenik; J. Ascenso; F. Pereira; T. Ebrahimi 

2021. 13th International Conference on Quality of Multimedia Experience (QoMEX 2021), June 14-17, 2021.

Context-Aware Image Super-Resolution Using Deep Neural Networks

M. S. Rad / J-P. Thiran (Dir.)  

Lausanne, EPFL, 2021. 

Open-Set Person Re-Identification through Error Resilient Recurring Gallery Building

P. Witzig; E. Upenik; T. Ebrahimi 

2021. 28th IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, September 19-22, 2021.

On the relation between landscape beauty and land cover: A case study in the U.K. at Sentinel-2 resolution with interpretable AI

A. Levering; D. Marcos; D. Tuia 

ISPRS Journal of Photogrammetry and Remote Sensing. 2021. Vol. 177, p. 194-203. DOI : 10.1016/j.isprsjprs.2021.04.020.

A data-driven approach for lightning nowcasting with deep learning

A. Mostajabi; E. Mansouri; P. Pad; M. Rubinstein; A. Dunbar et al. 

2021. EGU General Assembly 2021, 19–30 April 2021. DOI : 10.5194/egusphere-egu21-16377.

Multi-Agent Reinforcement Learning for Hyperparameter Optimization of Deep Convolutional Neural Networks

A. Iranfar; M. Zapater Sancho; D. Atienza Alonso 

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2021. Vol. na, num. na, p. na. DOI : 10.1109/TCAD.2021.3077193.

Label-Efficient Volumetric Deep Semantic Segmentation of Intracranial Hemorrhages

A. Spahr 


Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

A. Shajkofci; M. Liebling 

2021. International Symposium on Biomedical Imaging, 2021.

Perceptual Quality of Point Clouds with application to Compression

E. Alexiou / T. Ebrahimi (Dir.)  

Lausanne, EPFL, 2021. 

Deep visual Re-identification with confidence

G. Adaimi; S. Kreiss; A. Alahi 

Transportation Research Part C: Emerging Technologies. 2021. Vol. 126, p. 103067. DOI : 10.1016/j.trc.2021.103067.

Weakly Supervised Deep Learning Methods for Biomicroscopy

A. Shajkofci / F. Fleuret; M. S. D. Liebling (Dir.)  

Lausanne, EPFL, 2021. 

GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology

P-J. Lu; Y. Yoo; R. Rahmanzadeh; R. Galbusera; M. Weigel et al. 

Neuroimage-Clinical. 2021-01-01. Vol. 29, p. 102522. DOI : 10.1016/j.nicl.2020.102522.

Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

M. Qi; J. Qin; Y. Yang; Y. Wang; J. Luo 

IEEE Transactions On Image Processing. 2021-01-01. Vol. 30, p. 2989-3004. DOI : 10.1109/TIP.2020.3048680.

21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning

B. Kellenberger; T. Veen; E. Folmer; D. Tuia 

Remote Sensing in Ecology and Conservation. 2021. DOI : 10.1002/rse2.200.

Deep Image Restoration: Between Data Fidelity and Learned Priors

M. El Helou / S. Süsstrunk (Dir.)  

Lausanne, EPFL, 2021. 

Deep Learning Approaches for Auditory Perception in Robotics

W. He / J-M. Odobez; P. Motlicek (Dir.)  

Lausanne, EPFL, 2021. 

Learning music composition with recurrent neural networks

F. F. Colombo / W. Gerstner (Dir.)  

Lausanne, EPFL, 2021. 

Exploring policy change through agent-based simulation

R. Klein / M. Finger (Dir.)  

Lausanne, EPFL, 2021. 

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

M. Mosbach; M. Andriushchenko; D. Klakow 

2021. 9th International Conference on Learning Representations, Virtual, May 4-8, 2021.

Datasets and Models for Historical Newspaper Article Segmentation

R. Barman; M. Ehrmann; S. Clematide; S. Ares Oliveira 


Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers

R. Barman; M. Ehrmann; S. Clematide; S. Ares Oliveira; F. Kaplan 

Journal of Data Mining & Digital Humanities. 2021. Vol. 2021, num. Special Issue on HistoInformatics: Computational Approaches to History, p. 1-26. DOI : 10.5281/zenodo.4065271.


Motion Prediction Using Temporal Inception Module

T. Lebailly; S. Kiciroglu; M. Salzmann; P. Fua; W. Wang 

2020-12-30. Asian Conference on Computer Vision (ACCV), Kyoto, Japan, December, 2020. p. 651-665. DOI : 10.1007/978-3-030-69532-3_39.

Probabilistic Deep Learning on Spheres for Weather/Climate Applications

Y. Y. Haddad 


Probabilistic Deep Learning on Spheres for Weather/Climate Applications

W. Feng 


Real-time, low-latency closed-loop feedback using markerless posture tracking

G. A. Kane; G. Lopes; J. L. Saunders; A. Mathis; M. W. Mathis 

Elife. 2020-12-08. Vol. 9, p. e61909. DOI : 10.7554/eLife.61909.

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

T. Mordan; M. Cord; P. Pérez; A. Alahi 


AIDE: Accelerating image‐based ecological surveys with interactive machine learning

B. Kellenberger; D. Tuia; D. Morris 

Methods in Ecology and Evolution. 2020-12-03. Vol. 11, num. 12, p. 1716-1727. DOI : 10.1111/2041-210X.13489.

RSVQA: Visual Question Answering for Remote Sensing Data

S. Lobry; D. Marcos; J. Murray; D. Tuia 

IEEE Transactions on Geoscience and Remote Sensing. 2020-11-26. Vol. 58, num. 12, p. 8555-8566. DOI : 10.1109/TGRS.2020.2988782.

Learning Activation Functions in Deep (Spline) Neural Networks

P. Bohra; J. Campos; H. Gupta; S. Aziznejad; M. Unser 

IEEE Open Journal of Signal Processing. 2020-11-19. Vol. 1, p. 295-309. DOI : 10.1109/OJSP.2020.3039379.

Brain micro-vasculature imaging: An unsupervised deep learning algorithm for segmenting mouse brain volume probed by high-resolution phase-contrast X-ray tomography

A. Patera; A. G. Zippo; A. Bonnin; M. Stampanoni; G. E. M. Biella 

International Journal Of Imaging Systems And Technology. 2020-11-15. DOI : 10.1002/ima.22520.

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

K. Parameswaran; Y-T. Huang; Y-P. Hsieh; P. T. Y. Rolland; C. Shi et al. 


Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets

W. Wang; X. Alameda-Pineda; D. Xu; E. Ricci; N. Sebe 

IEEE Transactions On Multimedia. 2020-11-01. Vol. 22, num. 11, p. 2808-2819. DOI : 10.1109/TMM.2019.2963621.

Disentangling feature and lazy training in deep neural networks

M. Geiger; S. Spigler; A. Jacot; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2020-11-01. Vol. 2020, num. 11, p. 113301. DOI : 10.1088/1742-5468/abc4de.

Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers

M. Ehrmann; M. Romanello; A. Flückiger; S. Clematide 

2020-10-21. 11th Conference and Labs of the Evaluation Forum (CLEF 2020), [Online event], 22-25 September, 2020. DOI : 10.5281/zenodo.4117566.

RobustBench: a standardized adversarial robustness benchmark

F. Croce; M. Andriushchenko; V. Sehwag; N. Flammarion; M. Chiang et al. 


Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness

G. Ortiz Jimenez; A. Modas; S. M. Moosavi Dezfooli; P. Frossard 

Proceedings of the IEEE. 2020-10-19. Vol. 109, num. 5, p. 635-659. DOI : 10.1109/JPROC.2021.3050042.

Design Patterns for Resource-Constrained Automated Deep-Learning Methods

L. Tuggener; M. Amirian; F. Benites; P. von Däniken; P. Gupta et al. 

AI. 2020-10-06. Vol. 1, num. 4, p. 510-538. DOI : 10.3390/ai1040031.

Radial wind velocity retrieval from Doppler radar and lidar measurements using Deep Learning

M. Romero Grass 


Deep learning-based reduced order models in cardiac electrophysiology

S. Fresca; A. Manzoni; L. Dede; A. Quarteroni 

Plos One. 2020-10-01. Vol. 15, num. 10, p. e0239416. DOI : 10.1371/journal.pone.0239416.

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives

A. Mathis; S. Schneider; J. Lauer; M. W. Mathis 

Neuron. 2020-10. Vol. 108, num. 1, p. 44-65. DOI : 10.1016/j.neuron.2020.09.017.

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation

A. Carlier; M. Danelljan; A. Alahi; R. Timofte 

2020-09-29. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.

A deep learning framework for matching of SAR and optical imagery

L. H. Hughes; D. Marcos; S. Lobry; D. Tuia; M. Schmitt 

ISPRS Journal of Photogrammetry and Remote Sensing. 2020-09-23. Vol. 169, p. 166-179. DOI : 10.1016/j.isprsjprs.2020.09.012.

Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers

M. Ehrmann; M. Romanello; A. Flückiger; S. Clematide 

2020-09-15. 11th International Conference of the CLEF Association – CLEF 2020, Thessaloniki, Greece, September 22–25, 2020. p. 288–310. DOI : 10.1007/978-3-030-58219-7_21.

Implementation and Calibration of a Deep Neural Network to Predict Parameters of Left Ventricular Systolic Function Based on Pulmonary and Systemic Arterial Pressure Signals

J. Bonnemain; L. Pegolotti; L. Liaudet; S. Deparis 

Frontiers In Physiology. 2020-09-11. Vol. 11, p. 1086. DOI : 10.3389/fphys.2020.01086.

Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

A. Heidari; D. Khovalyg 

Solar Energy. 2020-09-01. Vol. 207, p. 626-639. DOI : 10.1016/j.solener.2020.07.008.

Upgrading the Newsroom: An Automated Image Selection System for News Articles

F. Liu; R. Lebret; D. Orel; P. Sordet; K. Aberer 

Acm Transactions On Multimedia Computing Communications And Applications. 2020-09-01. Vol. 16, num. 3, p. 81. DOI : 10.1145/3396520.

Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning

M. Muller; M. Schneider; M. Salathe; E. Vayena 

Journal Of Medical Internet Research. 2020-08-31. Vol. 22, num. 8, p. e17830. DOI : 10.2196/17830.

Precise Hand Finger Width Estimation via RGB-D Data

M. Nobar 


Square Attack: a query-efficient black-box adversarial attack via random search

M. Andriushchenko; F. Croce; N. Flammarion; M. Hein 

2020-08-28. European Conference on Computer Vision (ECCV 2020), [Online], August 23-28, 2020.

Comprehensive assessment of image compression algorithms

M. Testolina; E. Upenik; T. Ebrahimi 

2020-08-24. Applications of Digital Image Processing XLIII, 24-28 August 2020. DOI : 10.1117/12.2569255.

Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks

H. Gupta; T. H. Phan; J. Yoo; M. Unser 

2020-08-23. Computer Vision – ECCV 2020 Workshops, Glasgow, UK, August 23-28, 2020. p. 429-444. DOI : 10.1007/978-3-030-66415-2_28.

Musical Source Separation

A. Mocanu 


Far-Field Subwavelength Acoustic Imaging by Deep Learning

B. Orazbayev; R. Fleury 

Physical Review X. 2020-08-07. Vol. 10, p. 031029. DOI : 10.1103/PhysRevX.10.031029.

Real-time, low-latency closed-loop feedback using markerless posture tracking

G. Kane; G. Lopes; J. L. Saunders; A. Mathis; M. W. Mathis 


ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

B. Zhu; M. Farivar; M. Shoaran 

IEEE Transactions on Biomedical Circuits and Systems. 2020-08-01. Vol. 14, num. 4, p. 692-704. DOI : 10.1109/TBCAS.2020.3004544.

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

S. Tortora; S. Ghidoni; C. Chisari; S. Micera; F. Artoni 

Journal Of Neural Engineering. 2020-08-01. Vol. 17, num. 4, p. 046011. DOI : 10.1088/1741-2552/ab9842.

Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets

E. Taghizadeh; O. Truffer; F. Becce; S. Eminian; S. Gidoin et al. 

European Radiology. 2020-07-22. DOI : 10.1007/s00330-020-07070-7.

Benefiting from Multitask Learning to Improve Single Image Super-Resolution

M. S. Rad; B. Bozorgtabar; C. Musat; U-V. Marti; M. Basler et al. 

Neurocomputing. 2020-07-20. Vol. 398, num. 398, p. 304-313. DOI : 10.1016/j.neucom.2019.07.107.

ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data

A. Mathis; B. Thomas; M. Yuksekgonul; B. Rogers; M. Bethge et al. 

2020-07-17. ICML UDL 2020 Workshop on Uncertainty & Robustness in Deep Learning , Virtual event, July 17, 2020.

Redundant features can hurt robustness to distributions shift

G. Ortiz Jimenez; A. Modas; S. M. Moosavi Dezfooli; P. Frossard 

Uncertainty & Robustness in Deep Learning Workshop (ICML 2020).

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

E. Gündogdu; V. Constantin; S. Parashar; A. Seifoddini; M. Dang et al. 

IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2020-07-14. DOI : 10.1109/TPAMI.2020.3010886.

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

P. Kothari; S. Kreiss; A. Alahi 


Understanding and Improving Fast Adversarial Training

M. Andriushchenko; N. Flammarion 

2020-07-06. Advances In Neural Information Processing Systems 33 (NeurIPS 2020), [Online], December 2020.

Deep learning approach for quantification of organelles and misfolded polypeptide delivery within degradative compartments

D. Morone; A. Marazza; T. J. Bergmann; M. Molinari 

Molecular Biology Of The Cell. 2020-07-01. Vol. 31, num. 14, p. 1512-1524. DOI : 10.1091/mbc.E20-04-0269.