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.


Social media and deep learning capture the aesthetic quality of the landscape

I. Havinga; D. Marcos; P. W. Bogaart; L. Hein; D. Tuia 

Scientific Reports. 2021-10-08. Vol. 11, p. 1-11, 20000. DOI : 10.1038/s41598-021-99282-0.

Towards versatile conversations with data-driven dialog management and its integration in commercial platforms

P. Canas; D. Griol; Z. Callejas 

Journal Of Computational Science. 2021-10-01. Vol. 55, p. 101443. DOI : 10.1016/j.jocs.2021.101443.

DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

E. Gomez-de-Mariscal; C. Garcia-Lopez-de-Haro; W. Ouyang; L. Donati; E. Lundberg et al. 

Nature Methods. 2021-09-30. DOI : 10.1038/s41592-021-01262-9.

Defect segmentation for multi-illumination quality control systems

D. Honzátko; E. Türetken; S. Arjomand Bigdeli; L. A. Dunbar; P. Fua 

Machine Vision and Applications. 2021-09-23. Vol. 32, num. 118, p. 16. DOI : 10.1007/s00138-021-01244-z.

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.

Disparity Between Batches as a Signal for Early Stopping

M. Forouzesh; P. Thiran 

2021-09-13. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Basque Country, Spain, September 13-17, 2021. DOI : 10.1007/978-3-030-86520-7_14.

Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings

V. S. Nallanthighal; Z. Mostaani; A. Harma; H. Strik; M. Magimai-Doss 

Neural Networks. 2021-09-01. Vol. 141, p. 211-224. DOI : 10.1016/j.neunet.2021.03.029.

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Z. Dang; K. M. Yi; Y. Hu; F. Wang; P. Fua et al. 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2021-09-01. Vol. 43, num. 9, p. 3167-3182. DOI : 10.1109/TPAMI.2020.2978812.

Learning from survey propagation: a neural network for MAX-E-3-SAT

R. Marino 

Machine Learning-Science And Technology. 2021-09-01. Vol. 2, num. 3, p. 035032. DOI : 10.1088/2632-2153/ac0496.

Physics-Inspired Structural Representations for Molecules and Materials

F. Musil; A. Grisafi; A. P. Bartok; C. Ortner; G. Csanyi et al. 

Chemical Reviews. 2021-08-25. Vol. 121, num. 16, p. 9759-9815. DOI : 10.1021/acs.chemrev.1c00021.

Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems : potential, issues and challenges

S. C. Koumetio Tekouabou; E. B. Diop; R. Azmi; R. Jaligot; J. Chenal 

Journal of King Saud University – Computer and Information Sciences. 2021-08-20. DOI : 10.1016/j.jksuci.2021.08.007.

The role of convolutional neural networks in scanning probe microscopy: a review

I. Azuri; I. Rosenhek-Goldian; N. Regev-Rudzki; G. Fantner; S. R. Cohen 

Beilstein Journal Of Nanotechnology. 2021-08-13. Vol. 12, p. 878-901. DOI : 10.3762/bjnano.12.66.

Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation

M. Dorokhova; Y. Martinson; C. Ballif; N. Wyrsch 

Applied Energy. 2021-08-05. Vol. 301, p. 117504. DOI : 10.1016/j.apenergy.2021.117504.

Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks

X. Lin; D. Bhattacharjee; M. El Helou; S. Süsstrunk 

IEEE Signal Processing Letters. 2021-08-03. num. SPL-30904-2021.R1, p. 1-4.

Counting People by Estimating People Flows

W. Liu; M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021-08-03. 

Context-Aware Learning for Generative Models

S. Perdikis; R. Leeb; R. Chavarriaga; J. d. R. Millan 

Ieee Transactions On Neural Networks And Learning Systems. 2021-08-01. Vol. 32, num. 8, p. 3471-3483. DOI : 10.1109/TNNLS.2020.3011671.

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

A. Gosztolai; S. Gunel; V. Lobato-Rios; M. Pietro Abrate; D. Morales et al. 

Nature Methods. 2021-08-01. Vol. 18, num. 8, p. 975-+. DOI : 10.1038/s41592-021-01226-z.

Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective

J. Zhang; Y. Dai; T. Zhang; M. Harandi; N. Barnes et al. 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2021-08-01. Vol. 43, num. 8, p. 2866-2873. DOI : 10.1109/TPAMI.2020.3046486.

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas

J. Krepl; F. Casalegno; E. Delattre; C. Ero; H. Lu et al. 

Frontiers In Neuroinformatics. 2021-07-28. Vol. 15, p. 691918. DOI : 10.3389/fninf.2021.691918.

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

E. Logette; C. Lorin; C. Favreau; E. Oshurko; J. S. Coggan et al. 

Frontiers In Public Health. 2021-07-28. Vol. 9, p. 695139. DOI : 10.3389/fpubh.2021.695139.

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.

Deep Compositional Denoising for High-quality Monte Carlo Rendering

X. Zhang; M. Manzi; T. Vogels; H. Dahlberg; M. Gross et al. 

Computer Graphics Forum. 2021-07-01. Vol. 40, num. 4, p. 1-13. DOI : 10.1111/cgf.14337.

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.

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

B. S. Schmidt; M. Salewski; B. Reman; R. O. Dendy; D. Moseev et al. 

Review Of Scientific Instruments. 2021-05-01. Vol. 92, num. 5, p. 053528. DOI : 10.1063/5.0041456.

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. 2021-05-01. 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 Building on Prior Ischemic Core Segmentation Improves Prediction of Infarction After Stroke

J. Klug; G. Leclerc; E. Dirren; M. P. Guilia; D. Van De Ville et al. 

2021-03-01. DOI : 10.1161/str.52.suppl_1.P357.

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.

Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding

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

2021. IEEE Visual Communications and Image Processing (VCIP 2021), Munich, Germany, December 5-8, 2021.

The complex winds of the Alps: an unseen asset for the energy transition

J. F. S. Dujardin / M. Lehning (Dir.)  

Lausanne, EPFL, 2021. 

Investigation of Lead-free perovskites for Optoelectronic Application

A. Fedorovskiy / M. K. Nazeeruddin (Dir.)  

Lausanne, EPFL, 2021. 

Augmenting the performance of impoverished sensor networks using machine learning and time reversal: Application to lightning nowcasting and location

A. Mostajabi / F. Rachidi-Haeri; M. Rubinstein (Dir.)  

Lausanne, EPFL, 2021. 

Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient

Y. Shi; Z. Wei; H. Ling; Z. Wang; P. Zhu et al. 

Ieee Transactions On Multimedia. 2021-01-01. Vol. 23, p. 3264-3277. DOI : 10.1109/TMM.2020.3023272.

Business Entity Matching with Siamese Graph Convolutional Networks

E. Krivosheev; M. Atzeni; K. Mirylenka; P. Scotton; C. Miksovic et al. 

2021-01-01. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, ELECTR NETWORK, Feb 02-09, 2021. p. 16054-16056.

Interpretable Stability Bounds for Spectral Graph Filters

H. Kenlay; D. Thanou; X. Dong 

2021-01-01. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.

Consensus Control for Decentralized Deep Learning

L. Kong; T. Lin; A. Koloskova; M. Jaggi; S. U. Stich 

2021-01-01. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.

Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data

T. Lin; S. P. Karimireddy; S. U. Stich; M. Jaggi 

2021-01-01. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.

Towards super resolution in the compressed domain of learning-based image codecs

E. Upenik; M. Testolina; T. Ebrahimi 

2021. Applications of Digital Image Processing XLIV, San Diego, USA, August 1-5, 2021. DOI : 10.1117/12.2597833.

Optimization methods for collaborative learning

S. P. R. Karimireddy / M. Jaggi (Dir.)  

Lausanne, EPFL, 2021. 

Investigating the cracking of plastered stone masonry walls under shear–compression loading

A. Rezaie; M. Godio; K. Beyer 

Construction and Building Materials. 2021. Vol. 306, p. 124831. DOI : 10.1016/j.conbuildmat.2021.124831.

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging

F. Yang; T-A. Pham; N. Brandenberg; M. P. Lutolf; J. Ma et al. 

Ieee Transactions On Image Processing. 2021-01-01. Vol. 30, p. 7025-7037. DOI : 10.1109/TIP.2021.3099956.

Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings

V. Mendez; L. Pollina; F. Artoni; S. Micera 

2021-01-01. 10th International IEEE-EMBS Conference on Neural Engineering (NER), Prague, ELECTR NETWORK, May 04-06, 2021. p. 1074-1078. DOI : 10.1109/NER49283.2021.9441095.

CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning

H. Gupta; M. T. McCann; L. Donati; M. Unser 

Ieee Transactions On Computational Imaging. 2021-01-01. Vol. 7, p. 759-774. DOI : 10.1109/TCI.2021.3096491.

Logical Team Q-learning: An approach towards factored policies in cooperative MARL

L. Cassano; A. H. Sayed 

2021-01-01. 24th International Conference on Artificial Intelligence and Statistics (AISTATS), ELECTR NETWORK, Apr 13-15, 2021. p. 667-+.

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

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

IEEE Transactions on Intelligent Transportation Systems (T-ITS). 2021. DOI : 10.1109/TITS.2021.3107587.

Learning-based Image Coding: Early Solutions Reviewing and Subjective Quality Evaluation

J. Ascenso; P. Akyazi; F. Pereira; T. Ebrahimi 

2021-01-01. Conference on Optics, Photonics and Digital Technologies for Imaging Applications VI, ELECTR NETWORK, Apr 06-10, 2020. p. 113530S. DOI : 10.1117/12.2555368.

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), Virtual Event, Jun 13-17, 2021. p. 109-114.

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. Vol. 7, num. 3, p. 445-460. 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.

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. 2021. Vol. 31, num. 3, p. 1211-1220. DOI : 10.1002/ima.22520.

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. 2021. Vol. 31, p. 181–190. DOI : 10.1007/s00330-020-07070-7.