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.


Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

S. Kim; S. Kim; D. Min; P. Frossard; K. Sohn 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2023-05-01. Vol. 45, num. 5, p. 6372-6385. DOI : 10.1109/TPAMI.2022.3207286.

ReLU Neural Network Galerkin BEM

R. Aylwin; F. Henriquez; C. Schwab 

Journal Of Scientific Computing. 2023-05-01. Vol. 95, num. 2, p. 41. DOI : 10.1007/s10915-023-02120-w.

De novo design of protein interactions with learned surface fingerprints

P. Gainza Cirauqui; S. Wehrle; A. K. Van Hall-Beauvais; A. Marchand; A. Scheck et al. 

Nature. 2023-04-26. Vol. 617, num. 7959, p. 176-184. DOI : 10.1038/s41586-023-05993-x.

Two-dimensional Pure Isotropic Proton Solid State NMR

P. Moutzouri; M. Cordova; B. S. de Almeida; D. Torodii; L. Emsley 

Angewandte Chemie-International Edition. 2023-04-18. DOI : 10.1002/anie.202301963.

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

D. De Luca; S. Moccia; L. Lupori; R. Mazziotti; T. Pizzorusso et al. 

Journal Of Neural Engineering. 2023-04-01. Vol. 20, num. 2, p. 026031. DOI : 10.1088/1741-2552/acc2e7.

Perspective Aware Road Obstacle Detection

K. Lis; S. Honari; P. Fua; M. Salzmann 

Ieee Robotics And Automation Letters. 2023-04-01. Vol. 8, num. 4, p. 2150-2157. DOI : 10.1109/LRA.2023.3245410.

A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission

A. Tykhonov; A. Kotenko; P. Coppin; M. Deliyergiyev; D. Droz et al. 

Astroparticle Physics. 2023-04-01. Vol. 146, p. 102795. DOI : 10.1016/j.astropartphys.2022.102795.

Visual question answering from another perspective: CLEVR mental rotation tests *

C. Beckham; M. Weiss; F. Golemo; S. Honari; D. Nowrouzezahrai et al. 

Pattern Recognition. 2023-04-01. Vol. 136, p. 109209. DOI : 10.1016/j.patcog.2022.109209.

CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets

L. Burgy; M. Weigert; G. Hatzopoulos; M. Minder; A. Journe et al. 

Bmc Bioinformatics. 2023-03-28. Vol. 24, num. 1, p. 120. DOI : 10.1186/s12859-023-05214-2.

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

T. Li; C. Sun; O. Fink; Y. Yang; X. Chen et al. 

Ieee Transactions On Cybernetics. 2023-03-23. DOI : 10.1109/TCYB.2023.3256080.

The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning star

L. Cabayol; M. Eriksen; J. Carretero; R. Casas; F. J. Castander et al. 

Astronomy & Astrophysics. 2023-03-21. Vol. 671, p. A153. DOI : 10.1051/0004-6361/202245027.

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

V. Swamy; S. Du; M. Marras; T. Käser 

2023-03-13. LAK 2023: The 13th International Learning Analytics and Knowledge Conference, Arlington, Texas, USA, March 13-17, 2023. DOI : 10.1145/3576050.3576147.

Aiming beyond slight increases in accuracy

D. Probst 

Nature Reviews Chemistry. 2023-03-09. DOI : 10.1038/s41570-023-00480-3.

Dynamics of social media behavior before and after SARS-CoV-2 infection

F. Durazzi; F. Pichard; D. Remondini; M. Salathe 

Frontiers In Public Health. 2023-02-23. Vol. 10, p. 1069931. DOI : 10.3389/fpubh.2022.1069931.

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

A-C. Billault-Roux; G. Ghiggi; L. Jaffeux; A. Martini; N. Viltard et al. 

Atmospheric Measurement Techniques. 2023-02-21. Vol. 16, num. 4, p. 911-940. DOI : 10.5194/amt-16-911-2023.

Social media and deep learning reveal specific cultural preferences for biodiversity

I. Havinga; D. Marcos; P. Bogaart; D. Massimino; L. Hein et al. 

People and Nature. 2023-02-19. Vol. 00, p. 1-18. DOI : 10.1002/pan3.10466.

Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

G. Michau; G. M. Frusque; O. Fink 

Proceedings of the National Academy of Sciences. 2023-02-18. Vol. 119, num. 8, p. e2106598119. DOI : 10.1073/pnas.2106598119.

Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model

A. Khan; N. Brouwer; A. Blank; F. Mueller; D. Soldini et al. 

Modern Pathology. 2023-02-17. Vol. 36, num. 5, p. 100118. DOI : 10.1016/j.modpat.2023.100118.

DeepBND: A machine learning approach to enhance multiscale solid mechanics

F. Rocha; S. Deparis; P. Antolin; A. Buffa 

Journal of Computational Physics. 2023-02-14. Vol. 479, p. 111996. DOI : 10.1016/

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

S. Israilov; L. Fu; J. Sanchez-Rodriguez; F. Fusco; G. Allibert et al. 

Plos One. 2023-02-13. Vol. 18, num. 2, p. e0280071. DOI : 10.1371/journal.pone.0280071.

Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table

A. Rodriguez; C. Lin; H. Yang; M. Al-Fahdi; C. Shen et al. 

Npj Computational Materials. 2023-02-06. Vol. 9, num. 1, p. 20. DOI : 10.1038/s41524-023-00974-0.

Generative power of a protein language model trained on multiple sequence alignments

D. Sgarbossa; U. Lupo; A-F. Bitbol 

Elife. 2023-02-03. Vol. 12, p. e79854. DOI : 10.7554/eLife.79854.

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

N. Mallya; P. B. Baqué; P. Yvernay; A. Pozzetti; P. Fua et al. 

ASME Journal of Heat and Mass Transfer. 2023-02-03. Vol. 145, num. 5, p. 052902. DOI : 10.1115/1.4056663.

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

E. Sibilano; A. Brunetti; D. Buongiorno; M. Lassi; A. Grippo et al. 

Journal Of Neural Engineering. 2023-02-01. Vol. 20, num. 1, p. 016048. DOI : 10.1088/1741-2552/acb96e.

End-to-end learned early classification of time series for in-season crop type mapping

M. Rußwurm; N. Courty; R. Emonet; S. Lefèvre; D. Tuia et al. 

ISPRS Journal of Photogrammetry and Remote Sensing. 2023-01-25. Vol. 196, p. 445-456. DOI : 10.1016/j.isprsjprs.2022.12.016.

Predicting the liveability of Dutch cities with aerial images and semantic intermediate concepts

A. Levering; D. Marcos; J. van Vliet; D. Tuia 

Remote Sensing of Environment. 2023-01-25. Vol. 287, p. 113454. DOI : 10.1016/j.rse.2023.113454.

Fusing physics-based and deep learning models for prognostics

M. Arias Chao; C. kulkarni; K. Goebel; O. Fink 

Reliability Engineering & System Safety. 2023-01-22. Vol. 217, p. 107961. DOI : 10.1016/j.ress.2021.107961.

Informing Neural Networks with Simplified Physics for Better Flow Prediction

F. Sergeev 


Behavioral outcome of very preterm children at 5 years of age: Prognostic utility of brain tissue volumes at term-equivalent-age, perinatal, and environmental factors

M. C. Liverani; S. Loukas; L. Gui; M-P. Pittet; M. Pereira et al. 

Brain And Behavior. 2023-01-14. DOI : 10.1002/brb3.2818.

Pure Isotropic Proton NMR Spectra in Solids using Deep Learning

M. Cordova; P. Moutzouri; B. S. de Almeida; D. Torodii; L. Emsley 

Angewandte Chemie-International Edition. 2023-01-13. DOI : 10.1002/anie.202216607.

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

L. D. Natale; Y. Lian; E. Maddalena; J. Shi; C. N. Jones 

2023-01-10. 2022 IEEE 61st Conference on Decision and Control (CDC). DOI : 10.1109/CDC51059.2022.9992445.

Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning

Y. Wen; C. Zhou; L. Chen; Y. Deng; M. Cleusix et al. 

Frontiers In Psychiatry. 2023-01-10. Vol. 13, p. 1075564. DOI : 10.3389/fpsyt.2022.1075564.

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

P. Rokhforoz; M. Montazeri; O. Fink 

Reliability Engineering & System Safety. 2023-01-10. Vol. 232, p. 109081. DOI : 10.1016/j.ress.2022.109081.

Single-Molecule Peptide Identification Using Fluorescence Blinking Fingerprints

S. Puntener; P. Rivera-Fuentes 

Journal Of The American Chemical Society. 2023-01-05. DOI : 10.1021/jacs.2c12561.

Snowfall microphysics: a dual-frequency and Doppler spectral radar perspective

A-C. Billault-Roux / A. Berne (Dir.)  

Lausanne, EPFL, 2023. 

Estimating and Improving the Robustness of Attributions in Text

Á. D. Ivánkay / P. Frossard (Dir.)  

Lausanne, EPFL, 2023. 

Discovering perceived images of reused industrial heritage from user-generated photos: Three mega-event reinforced industrial heritage transformation cases

H. Deng 

2023. Cities’ Identity Through Architecture and Arts (CITAA) – 6th Edition, Pisa, Italy, December 5-6, 2022.

Unlocking a multimodal archive of Southern Chinese martial arts through embodied cues

Y. Hou; F. M. Seydou; S. I. B. Kenderdine 

Journal of Documentation. 2023. DOI : 10.1108/JD-01-2022-0027.

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

Z. Wei; P. Fua; M. Bauerheim 

2023. AIAA Aviation Forum 2023, San Diego, CA, USA, June 12-16, 2023.

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics

C. Gueto-Tettay; D. Tang; L. Happonen; M. Heusel; H. Khakzad et al. 

Plos Computational Biology. 2023-01-01. Vol. 19, num. 1, p. e1010457. DOI : 10.1371/journal.pcbi.1010457.

Communication-efficient distributed training of machine learning models

T. Vogels / M. Jaggi (Dir.)  

Lausanne, EPFL, 2023. 

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

B. Huang; R. Zanetti; A. Abtahi; D. Atienza; A. Aminifar 

2023. IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China, June 11-13, 2023.

Confidence Matters: Applications to Semantic Segmentation

P. T. Sivaprasad / F. Fleuret; A. M. Alahi (Dir.)  

Lausanne, EPFL, 2023. 

Optimizing Sales Forecasting, Inventory, Pricing and Sourcing Decisions

Y. Kayyali El Alem / R. Seifert (Dir.)  

Lausanne, EPFL, 2023. 

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

B. G. Pantoja Rosero / K. Beyer; R. Achanta (Dir.)  

Lausanne, EPFL, 2023. 

Finding Actual Descent Directions For Adversarial Training

F. Latorre; I. Krawczuk; L. T. Dadi; T. M. Pethick; V. Cevher 

2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

Wetting Dynamics Beneath an Impacting Droplet

R. Kaviani / J. M. Kolinski (Dir.)  

Lausanne, EPFL, 2023. 

Transformer Models for Vision

J-B. F. M. J. Cordonnier / M. Jaggi (Dir.)  

Lausanne, EPFL, 2023. 

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial

J. Dong; L. Valzania; A. Maillard; T-a. Pham; S. Gigan et al. 

IEEE Signal Processing Magazine. 2023-01-01. Vol. 40, num. 1, p. 45-57. DOI : 10.1109/MSP.2022.3219240.

Mechanisms underlying reinforcement learning of motor skills

P. T. Vassiliadis / F. C. Hummel; J. Duqué (Dir.)  

Lausanne, EPFL, 2023. 

Deep Learning for Localized-Haptic Feedback in Tactile Surfaces

C. Hernandez Mejia / Y. Perriard (Dir.)  

Lausanne, EPFL, 2023. 

Sparse Autoencoders for Speech Modeling and Recognition

S. H. Kabil / H. Bourlard (Dir.)  

Lausanne, EPFL, 2023. 

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

T. Mahendiran; D. Thanou; O. Senouf; D. Meier; N. Dayer et al. 

Open Heart. 2023-01-01. Vol. 10, num. 1, p. e002237. DOI : 10.1136/openhrt-2022-002237.

De novo designed proteins: a study in engineering novel folds and functions

A. K. Van Hall-Beauvais / B. E. Ferreira De Sousa Correia (Dir.)  

Lausanne, EPFL, 2023. 

Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes

R. Marino; N. Macris 

Journal Of Scientific Computing. 2023-01-01. Vol. 94, num. 1, p. 8. DOI : 10.1007/s10915-022-02044-x.

Brain microstructural and functional MRI: developments and application to a rat model of Alzheimer’s disease

Y. Diao / R. Gruetter; I. O. Jelescu (Dir.)  

Lausanne, EPFL, 2023. 

cgNA+: A sequence-dependent coarse-grain model of double-stranded nucleic acids

R. Sharma / J. Maddocks (Dir.)  

Lausanne, EPFL, 2023. 

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

T. Riedlinger; M. Rottmann; M. Schubert; H. Gottschalk 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 3-7, 2023.

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M. Rottmann; M. Reese 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 3-7, 2023.

Latent Representation of CFD Meshes and Application to 2D Airfoil Aerodynamics

Z. Wei; B. Guillard; P. Fua; V. Chapin; M. Bauerheim 



PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

H. Osman; N. Darwish; A. Bayoumi 

Engineering Applications Of Artificial Intelligence. 2022-12-31. Vol. 119, p. 105797. DOI : 10.1016/j.engappai.2022.105797.

Acceleration-Guided Acoustic Signal Denoising Framework Based on Learnable Wavelet Transform Applied to Slab Track Condition Monitoring

B. Dai; G. Frusque; Q. Li; O. Fink 

Ieee Sensors Journal. 2022-12-15. Vol. 22, num. 24, p. 24140-24149. DOI : 10.1109/JSEN.2022.3218182.

RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers

M. J. Tyszkiewicz; K-K. Maninis; S. Popov; V. Ferrari 

2022-12-12. European Conference on Computer Vision, Tel-Aviv, Israel, October 23-27, 2022. p. 211-228. DOI : 10.1007/978-3-031-20080-9_13.

Multi-fidelity surrogate modeling using long short-term memory networks

P. Conti; M. Guo; A. Manzoni; J. S. Hesthaven 

Computer Methods In Applied Mechanics And Engineering. 2022-12-10. Vol. 404, p. 115811. DOI : 10.1016/j.cma.2022.115811.

ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning

J. A. H. Klein; I. Boybat; Y. M. Qureshi; M. Dazzi; A. S. J. Levisse et al. 

IEEE Transactions on Computers (TC). 2022-12-09. DOI : 10.1109/TC.2022.3230285.

Time-encoded multiplication-free spiking neural networks: application to data classification tasks

A. Stanojevic; G. Cherubini; S. Wozniak; E. Eleftheriou 

Neural Computing & Applications. 2022-12-05. DOI : 10.1007/s00521-022-07910-1.

Fine-grained population mapping from coarse census counts and open geodata

N. Metzger; J. E. Vargas-Muñoz; R. C. Daudt; B. Kellenberger; T. T-T. Whelan et al. 

Scientific Reports. 2022-12-01. Vol. 12, num. 1. DOI : 10.1038/s41598-022-24495-w.

Machine-learning accelerated identification of exfoliable two-dimensional materials

M. Tohidi Vahdat; K. Varoon Agrawal; G. Pizzi 

Machine Learning-Science And Technology. 2022-12-01. Vol. 3, num. 4, p. 045014. DOI : 10.1088/2632-2153/ac9bca.

Modeling Object Dissimilarity for Deep Saliency Prediction

B. Aydemir; D. Bhattacharjee; T. Zhang; S. Kim; M. Salzmann et al. 

Transactions on Machine Learning Research. 2022-11-24. 

Deep learning-based galaxy image deconvolution

U. Akhaury; J-L. Starck; P. Jablonka; F. Courbin; K. Michalewicz 

Frontiers In Astronomy And Space Sciences. 2022-11-18. Vol. 9, p. 1001043. DOI : 10.3389/fspas.2022.1001043.

Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation

F. Wang; S. Zhou; B. Hou; F. Santini; L. Yuan et al. 

European Radiology. 2022-11-18. DOI : 10.1007/s00330-022-09254-9.

A Machine Learning-based Framework for Forecasting Sales of New Products With Short Life Cycles Using Deep Neural Networks

Y. K. Elalem; S. Meier; R. Seifert 

International Journal of Forecasting. 2022-11-16. DOI : 10.1016/j.ijforecast.2022.09.005.

Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery

J. Sauder; M. Genzel; P. Jung 

IEEE Journal on Selected Areas in Information Theory. 2022-11-11.  p. 1-1. DOI : 10.1109/JSAIT.2022.3221644.

Physics-informed neural networks for diffraction tomography

A. Saba; C. Gigli; A. B. Ayoub; D. Psaltis 

Advanced Photonics. 2022-11-01. Vol. 4, num. 6, p. 066001. DOI : 10.1117/1.AP.4.6.066001.

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments

Y. Zhang; S. Ragettli; P. Molnar; O. Fink; N. Peleg 

Journal Of Hydrology. 2022-11-01. Vol. 614, p. 128577. DOI : 10.1016/j.jhydrol.2022.128577.

Locality defeats the curse of dimensionality in convolutional teacher-student scenarios*

A. Favero; F. Cagnetta; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2022-11-01. Vol. 2022, num. 11, p. 114012. DOI : 10.1088/1742-5468/ac98ab.

Relative stability toward diffeomorphisms indicates performance in deep nets

L. Petrini; A. Favero; M. Geiger; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2022-11-01. Vol. 2022, num. 11, p. 114013. DOI : 10.1088/1742-5468/ac98ac.

Artificial Intelligence Based Methods for Smart and Sustainable Urban Planning: A Systematic Survey

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

Archives Of Computational Methods In Engineering. 2022-11-01. DOI : 10.1007/s11831-022-09844-2.

CovNet: Covariance networks for functional data on multidimensional domains

S. Sarkar; V. M. Panaretos 

Journal Of The Royal Statistical Society Series B-Statistical Methodology. 2022-10-31. DOI : 10.1111/rssb.12551.

High Resolution Interferometric Imaging of Liquid-Solid Interfaces with HOTNNET

R. Kaviani; J. M. Kolinski 

Experimental Mechanics. 2022-10-28. DOI : 10.1007/s11340-022-00912-z.

Annotation of spatially resolved single-cell data with STELLAR

M. Brbić; K. Cao; J. W. Hickey; Y. Tan; M. P. Snyder et al. 

Nature Methods. 2022-10-24. Vol. 19, num. 11, p. 1411-1418. DOI : 10.1038/s41592-022-01651-8.

Misplaced Trust and Distrust: How Not to Engage with Medical Artificial Intelligence

G. Starke; M. Ienca 

Cambridge Quarterly Of Healthcare Ethics. 2022-10-20.  p. PII S0963180122000445. DOI : 10.1017/S0963180122000445.

Active Learning for Imbalanced Civil Infrastructure Data

T. Frick; D. M. Antognini; M. Rigotti; I. Giurgiu; B. Grewe et al. 

2022-10-19. (ECCV 2022) Proceedings of the Workshop on Computer Vision for Civil and Infrastructure Engineering, Tel Aviv, October 23–27, 2022.

On combining denoising with learning-based image decoding

L. Larigauderie; M. Testolina; T. Ebrahimi 

2022-10-03. Applications of Digital Image Processing XLV, San Diego, August, 2022. DOI : 10.1117/12.2636682.

A novel assessment framework for learning-based deepfake detectors in realistic conditions

Y. Lu; T. Ebrahimi 

2022-10-03. SPIE Optical Engineering + Applications, San Diego, California, USA, August 21-25, 2022. p. 23. DOI : 10.1117/12.2636683.

Improved spiking neural network for intershaft bearing fault diagnosis

J. Wang; T. Li; C. Sun; R. Yan; X. Chen 

Journal Of Manufacturing Systems. 2022-10-01. Vol. 65, p. 208-219. DOI : 10.1016/j.jmsy.2022.09.003.

CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion

G. Bellegarda; A. Ijspeert 

Ieee Robotics And Automation Letters. 2022-10-01. Vol. 7, num. 4, p. 12547-12554. DOI : 10.1109/LRA.2022.3218167.

Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance

V. Pandiyan; G. Masinelli; N. Claire; Tri Le-Quang; M. Hamidi-Nasab et al. 

Additive Manufacturing. 2022-10-01. Vol. 58, p. 103007. DOI : 10.1016/j.addma.2022.103007.

Roadmap on wavefront shaping and deep imaging in complex media

S. Gigan; O. Katz; H. B. de Aguiar; E. R. Andresen; A. Aubry et al. 

Journal Of Physics-Photonics. 2022-10-01. Vol. 4, num. 4, p. 042501. DOI : 10.1088/2515-7647/ac76f9.

In vivo magnetic resonance P-31-Spectral Analysis With Neural Networks: 31P-SPAWNN

J. Songeon; S. Courvoisier; L. Xin; T. Agius; O. Dabrowski et al. 

Magnetic Resonance In Medicine. 2022-09-25. DOI : 10.1002/mrm.29446.

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities

A. Amirshahi; A. Thomas; A. Aminifar; T. Rosing; D. Atienza Alonso 

IEEE Journal of Biomedical and Health Informatics (JBHI). 2022-09-22. DOI : 10.1109/jbhi.2022.3208780.

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation

S. K. Roy; L. Citraro; S. Honari; P. Fua 

2022-09-12. 10th International Conference on 3D Vision 2022 (3DV), Prague, Czechia, September 12-15, 2022.

Principles of gait encoding in the subthalamic nucleus of people with Parkinson’s disease

Y. Thenaisie; K. Lee; C. Moerman; S. Scafa; A. Galvez et al. 

Science Translational Medicine. 2022-09-07. Vol. 14, num. 661, p. eabo1800. DOI : 10.1126/scitranslmed.abo1800.

Digital twins for post-earthquake damage assessment of free-standing buildings including damage information

B. G. Pantoja Rosero; R. Achanta; A. Rezaie; K. Beyer 

2022-09-05. 3rd European Conference on Earthquake Engineering & Seismology, Bucharest, Romania, September 4-9, 2022.

Deep Q-learning agent for building earthquake resisting wall

Q. Wang; K. R. Maximiano Dos Santos; K. Beyer 

2022-09-05. 3rd European Conference on Earthquake Engineering & Seismology, Bucharest, Romania, September 4-9, 2022.

Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning

T-A. Nguyen; B. Kellenberger; D. Tuia 

Remote Sensing of Environment. 2022-09-02. Vol. 281, p. 113217. DOI : 10.1016/j.rse.2022.113217.

Multi-agent maintenance scheduling of generation unit in electricity market using safe deep reinforcement learning algorithm

P. Rokhforoz; O. Fink 

2022-09-01. 32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland, August 28 – September 1, 2022.

WikiArtVectors: Style and Color Representations of Artworks for Cultural Analysis via Information Theoretic Measures

B. S. Desikan; H. Shimao; H. Miton 

Entropy. 2022-09-01. Vol. 24, num. 9, p. 1175. DOI : 10.3390/e24091175.

Auto-tuning deep forest for shear stiffness prediction of headed stud connectors

X. Wang; H. Liu; Y. Liu 

Structures. 2022-09-01. Vol. 43, p. 1463-1477. DOI : 10.1016/j.istruc.2022.07.054.

Generating LOD3 building models from structure-from-motion and semantic segmentation

B. G. Pantoja-Rosero; R. Achanta; M. Kozinski; P. Fua; F. Perez-Cruz et al. 

Automation In Construction. 2022-09-01. Vol. 141, p. 104430. DOI : 10.1016/j.autcon.2022.104430.