Recherche
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.
2020
Joint Human Pose Estimation and Stereo Localization
2020-06-01. International Conference on Robotics and Automation (ICRA), paris, france, May 31th, June 4th 2020.Noise-Resilient and Interpretable Epileptic Seizure Detection
2020-05-17. IEEE International Symposium on Circuits and Systems – ISCAS 2020, Seville, Spain, May 17-21, 2020.ExprADA: Adversarial domain adaptation for facial expression analysis
Pattern Recognition. 2020-04-01. Vol. 100, p. 107111. DOI : 10.1016/j.patcog.2019.107111.Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-02-14
Collaborative Sampling in Generative Adversarial Networks
2020-02-11. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, February 7-12, 2020.Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach
2020-02-03.Learning stereo reconstruction with deep neural networks
Lausanne, EPFL, 2020.Crowding and the Architecture of the Visual System
Lausanne, EPFL, 2020.Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems
2020. 45th International Conference on Acoustics, Speech, and Signal Processing _ ICASSP 2020, Barcelona, Spain, 4-6 May, 2020.Byzantine machine learning
WO2020011361.
2020.What graph neural networks cannot learn: depth vs width
2020. International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.Sparse and Parametric Modeling with Applications to Acoustics and Audio
Lausanne, EPFL, 2020.Multi-memristive synaptic architectures for training neural networks
Lausanne, EPFL, 2020.Evaluating the search phase of neural architecture search
2020. ICRL 2020 Eighth International Conference on Learning Representations, Millennium Hall, Addis Ababa, ETHIOPIA, April 26-30, 2020.Domain-Adaptive Multibranch Networks
2020. 8th International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS
2020
On the Tunability of Optimizers in Deep Learning
2020
2019
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
Nature Methods. 2019-12-09. Vol. 17, pages184–192(2020), p. 184-192. DOI : 10.1038/s41592-019-0666-6.Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks
Foundations and Trends® in Signal Processing. 2019-12-03. Vol. 13, num. 3, p. 280-359. DOI : 10.1561/2000000101.Latest advances in aging research and drug discovery
Aging-Us. 2019-11-30. Vol. 11, num. 22, p. 9971-9981. DOI : 10.18632/aging.102487.Le fabuleux chantier: Rendre l’intelligence artificielle robustement bénéfique
EDP Sciences, 2019-11-28.Single-Sensor Source Localization Using Electromagnetic Time Reversal and Deep Transfer Learning: Application to Lightning
Nature Scientific Reports. 2019-11-22. Vol. 9, num. 1. DOI : 10.1038/s41598-019-53934-4.A jamming transition from under- to over-parametrization affects generalization in deep learning
Journal Of Physics A-Mathematical And Theoretical. 2019-11-22. Vol. 52, num. 47, p. 474001. DOI : 10.1088/1751-8121/ab4c8b.Deep learning in the built environment: automatic detection of rooftop solar panels using Convolutional Neural Networks
2019-11-20. CISBAT 2019 | Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era, Lausanne, Switzerland, 4–6 September 2019. DOI : 10.1088/1742-6596/1343/1/012034.Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation
2019-11-08. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 4-8, 2019.Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
2019-11-03. 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Hong Kong, China, November 3-7, 2019. p. 27-33. DOI : 10.18653/v1/D19-6605.Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern
Optical Fiber Technology. 2019-11-01. Vol. 52, p. 101985. DOI : 10.1016/j.yofte.2019.101985.Learning to Find Unpaired Cross-Spectral Correspondences
Ieee Transactions On Image Processing. 2019-11-01. Vol. 28, num. 11, p. 5394-5406. DOI : 10.1109/TIP.2019.2917864.Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). 2019-10-30. Vol. 9, num. 4, p. 697-711. DOI : 10.1109/JETCAS.2019.2950386.SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
2019-10-27. 2019 International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, 27-10, 2019.Detecting the Unexpected via Image Resynthesis
2019-10-27. ICCV 2019 : IEEE International Conference on Computer Vision, Seoul, South Korea, Oct 27, 2019 – Nov 3, 2019 .What attracts our visual attention? A study on saliency mapping for architectural daylit scenes based on virtual reality data
VELUX Daylight Symposium, Paris, France, Octobre 9, 2019 .An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication
2019-10-09.Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images
IEEE Transactions on Medical Imaging. 2019-10-04. DOI : 10.1109/TMI.2019.2946462.DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife. 2019-10-04. Vol. 8. DOI : 10.7554/eLife.48571.Biologically plausible deep learning – But how far can we go with shallow networks?
Neural Networks. 2019-10-01. Vol. 118, p. 90-101. DOI : 10.1016/j.neunet.2019.06.001.2D MoS2 nanopores: ionic current blockade height for clustering DNA events
2D Materials. 2019-10-01. Vol. 6, num. 4, p. 045011. DOI : 10.1088/2053-1583/ab2c38.Deep learning-based detection of cortical lesions in multiple sclerosis patients with FLAIR, DIR, and MP2RAGE MRI sequences
2019-09-10. 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Stockholm, Sweden, September 11-13, 2019. p. 131-356. DOI : 10.1177/1352458519868078.Learning online combinatorial stochastic policies with deep reinforcement
2019-09-04. European Association for Research in Transportation (hEART), Budapest, September 4-6, 2019.Deep learning analysis applied to multi-parametric advanced MRI shows higher myelin content and neurite density in juxtacortical lesions compared to periventricular lesions
2019-09-01. 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS, Stockholm, SWEDEN, Sep 11-13, 2019. p. 241-242.Deep learning-based detection of cortical lesions in multiple sclerosis patients with FLAIR, DIR, and MP2RAGE MRI sequences
2019-09-01. 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS, Stockholm, SWEDEN, Sep 11-13, 2019. p. 206-207.Topology classification with deep learning to improve real-time event selection at the LHC
2019-08-31. DOI : 10.1007/s41781-019-0028-1.Caries Detection with Near-Infrared Transillumination Using Deep Learning
Journal of Dental Research. 2019-08-26. p. 0022034519871884. DOI : 10.1177/0022034519871884.Metasurface-Based Molecular Biosensing Aided by Artificial Intelligence
Angewandte Chemie-International Edition. 2019-08-08. DOI : 10.1002/anie.201901443.Differentiating Parkinson’s disease motor subtypes using automated volume-based morphometry incorporating white matter and deep gray nuclear lesion load
Journal Of Magnetic Resonance Imaging. 2019-07-31. DOI : 10.1002/jmri.26887.Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images
Cytometry Part A. 2019-07-16. DOI : 10.1002/cyto.a.23863.Benefiting from Multitask Learning to Improve Single Image Super-Resolution
Neurocomputing. 2019-07-14.Jamming transition as a paradigm to understand the loss landscape of deep neural networks
Physical Review E. 2019-07-11. Vol. 100, num. 1, p. 012115. DOI : 10.1103/PhysRevE.100.012115.A deep learning approach to Cadastral Computing
2019-07-11. Digital Humanities Conference,, Utrecht, Netherlands, July 8-12, 2019.Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal
IEEE Transactions on Image Processing. 2019-07-01. Vol. 28, num. 12, p. 6185-6197. DOI : 10.1109/TIP.2019.2923559.A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
Neuroinformatics. 2019-07-01. Vol. 17, num. 3, p. 391-406. DOI : 10.1007/s12021-018-9404-y.Stochastic Zeroth-Order Optimisation Algorithms with Variance Reduction
EPFL, 2019-06-21.Geometric Deep Learning for Volumetric Computational Fluid Dynamics
2019-06-21.Spherical Convolutionnal Neural Networks: Empirical Analysis of SCNNs
2019-06-21.Neural Scene Decomposition for Multi-Person Motion Capture
2019-06-20. Computer Vision and Patter Recognition (CVPR).Context-Aware Crowd Counting
2019-06-20. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019.A comparison of model-parallel training methods for deep learning
2019-06-18.MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
2019-06-07. International Conference on Computer Vision (ICCV), Seoul, Korea, October 27- November 2, 2019 .Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends
Seminars In Musculoskeletal Radiology. 2019-06-01. Vol. 23, num. 3, p. 304-311. DOI : 10.1055/s-0039-1684024.Design of an Always-On Deep Neural Network-Based 1-mu W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction
Ieee Journal Of Solid-State Circuits. 2019-06-01. Vol. 54, num. 6, p. 1764-1777. DOI : 10.1109/JSSC.2019.2894360.Improving speech embedding using crossmodal transfer learning with audio-visual data
Multimedia Tools and Applications. 2019-06-01. Vol. 78, num. 11, p. 15681-15704. DOI : 10.1007/s11042-018-6992-3.Learning from droplet flows in microfluidic channels using deep neural networks
Scientific Reports. 2019-05-31. Vol. 9, p. 8114. DOI : 10.1038/s41598-019-44556-x.Deep Drone Racing: From Simulation to Reality with Domain Randomization
2019-05-21.Enhancing subwavelength image recognition with resonant metamaterial lenses
URSI Commission B International Symposium on Electromagnetic Theory (EMTS 2019), San Diego, United Stated, 27-31 May 2019.Feed-forwards meet recurrent networks in vehicle trajectory prediction
2019-05-15. STRC.Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis
2019-05-14. The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), Lille, France, May 14 -18, 2019. p. 230-237.Audio Feature Extraction with Convolutional Neural Autoencoders with Application to Voice Conversion
2019-05-12. May 12-17, 2019.Local SGD Converges Fast and Communicates Little
2019-05-06. ICLR 2019 – International Conference on Learning Representations, New Orleans, USA, May 6-9, 2019.Incremental Learning Meets Reduced Precision Networks
2019-05-01. 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, May 26-28, 2019. p. 1-5. DOI : 10.1109/ISCAS.2019.8702541.Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling
Speech Communication. 2019-05-01. Vol. 109, p. 34-45. DOI : 10.1016/j.specom.2019.03.004.MATHICSE Technical Report: Constraint-Aware Neural Networks for Riemann Problems
2019-04-28
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Computer Vision and Image Understanding (CVIU). 2019-04-17.Neural network training for cross-protocol radiomic feature standardization in computed tomography
Journal Of Medical Imaging. 2019-04-01. Vol. 6, num. 2, p. 024008. DOI : 10.1117/1.JMI.6.2.024008.Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks
Ieee Transactions On Pattern Analysis And Machine Intelligence. 2019-04-01. Vol. 41, num. 4, p. 956-970. DOI : 10.1109/TPAMI.2018.2827052.DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications
Astronomy And Computing. 2019-04-01. Vol. 27, p. 130-146. DOI : 10.1016/j.ascom.2019.03.004.Learning Vision-Based Quadrotor Control in User Proximity
2019-03-25. 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Daegu, Korea (South), March 11-14, 2019. p. 369-369. DOI : 10.1109/HRI.2019.8673022.Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing
2019-03-18.A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
Npj Digital Medicine. 2019-03-01. Vol. 2, p. 11. DOI : 10.1038/s41746-019-0087-z.Biologically plausible deep learning – but how far can we go with shallow networks?
2019-03-01.Real-Time Wide-Baseline Place Recognition Using Depth Completion
IEEE Robotics and Automation Letters. 2019-01-29. Vol. 4, num. 2, p. 1525-1532. DOI : 10.1109/LRA.2019.2895826.Challenges and implemented technologies used in autonomous drone racing
Intelligent Service Robotics. 2019-01-24. Vol. 12, num. 2, p. 137-148. DOI : 10.1007/s11370-018-00271-6.Modular Sensor Fusion for Semantic Segmentation
2019-01-07. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 1-5, 2018. p. 3670-3677. DOI : 10.1109/IROS.2018.8593786.Learning an event sequence embedding for event-based deep stereo
2019. Proceedings of the IEEE International Conference on Computer Vision.Self-attention for Speech Emotion Recognition
2019. Proc. Interspeech 2019. DOI : 10.21437/Interspeech.2019-2822.AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS
2019. Universita Degli Studi Firenze – 11th International workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Firenze, Italy,PassGAN: A Deep Learning Approach for Password Guessing
2019-01-01. 17th International Conference on Applied Cryptography and Network Security (ACNS), Bogota, Colombia, Jun 05-07, 2019. p. 217-237. DOI : 10.1007/978-3-030-21568-2_11.Architectural Sampling: A Formal Basis for Machine-Learnable Architecture
Lausanne, EPFL, 2019.Mobile Robotic Painting of Texture
2019-01-01. International Conference on Robotics and Automation (ICRA), Montreal, CANADA, May 20-24, 2019. p. 640-647.Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
2019-01-01. International Conference on Robotics and Automation (ICRA), Montreal, CANADA, May 20-24, 2019. p. 6015-6022.Byzantine tolerant gradient descent for distributed machine learning with adversaries
WO2019105543.
2019.Trustworthy speaker recognition with minimal prior knowledge using neural networks
Lausanne, EPFL, 2019.On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging
2019-01-01. 53rd Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, Mar 20-22, 2019.Language Independent Query by Example Spoken Term Detection
Lausanne, EPFL, 2019.On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy
2019