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

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.

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. 

2020-10-19

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 

2020-10-19. 

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 

2020-08-31.

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. SPIE Optics + Photonics Digital Forum, Applications of Digital Image Processing XLIII, [Online only], 24-28 August 2020. DOI : 10.1117/12.2569255.

Musical Source Separation

A. Mocanu 

2020-08-14.

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 

2020-08-05

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.

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. 

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

P. Kothari; S. Kreiss; A. Alahi 

2020-07-07

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.

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

F. La Rosa; A. Abdulkadir; M. J. Fartaria; R. Rahmanzadeh; P-J. Lu et al. 

NeuroImage: Clinical. 2020-06-30. Vol. 27, p. 102335. DOI : 10.1016/j.nicl.2020.102335.

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

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

2020-06-23

Detecting solar rooftop photovoltaic panels in aerial images using neural networks: a transfer learning approach

S. Roquette 

2020-06-19.

On the Experimental Transferability of Spectral Graph Convolutional Networks

A. Nilsson 

2020-06-19.

Geometric deep learning for medium-range weather prediction

I. Llorens Jover 

2020-06-19.

WatchNet plus plus : efficient and accurate depth-based network for detecting people attacks and intrusion

M. Villamizar; A. Martinez-Gonzalez; O. Canevet; J. -M. Odobez 

Machine Vision And Applications. 2020-06-17. Vol. 31, num. 6, p. 41. DOI : 10.1007/s00138-020-01089-y.

Shape Reconstruction by Learning Differentiable Surface Representations

J. Bednarík; S. Parashar; E. Gündogdu; M. Salzmann; P. Fua 

2020-06-14. 2020 CVPR – Computer Vision and Pattern Recognition, Seattle, USA, June 14-16, 2020.

Editorial: Computational Pathology

B. Bozorgtabar; D. Mahapatra; I. Zlobec; T. T. Rau; J-P. Thiran 

Frontiers In Medicine. 2020-06-09. Vol. 7, p. 245. DOI : 10.3389/fmed.2020.00245.

DISK: learning local features with policy gradient

M. J. Tyszkiewicz; P. Fua; E. Trulls 

2020-06-01. Neural Information Processing Systems, Vancouver, Canada (online), December 6-12, 2020.

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

S. Kiciroglu; H. Rhodin; S. N. Sinha; M. Salzmann; P. Fua 

2020-06. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 14-19, 2020.

Joint Segmentation and Path Classification of Curvilinear Structures

A. Mosinska; M. Kozinski; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2020-06-01. Vol. 42, num. 6, p. 1515-1521. DOI : 10.1109/TPAMI.2019.2921327.

Joint Human Pose Estimation and Stereo 3D Localization

W. Deng; L. Bertoni; S. Kreiss; A. Alahi 

2020-06-01. International Conference on Robotics and Automation (ICRA), paris, france, May 31th, June 4th 2020.

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

E. Kakkava; N. Borhani; B. Rahmani; U. Teğin; C. Moser et al. 

Applied Sciences. 2020-05-30. Vol. 10, num. 11, p. 3816. DOI : 10.3390/app10113816.

Accurate deep neural network inference using computational phase-change memory

V. Joshi; M. Le Gallo; S. Haefeli; I. Boybat; S. R. Nandakumar et al. 

Nature Communications. 2020-05-18. Vol. 11, num. 1. DOI : 10.1038/s41467-020-16108-9.

Noise-Resilient and Interpretable Epileptic Seizure Detection

A. Hitchcock Thomas; A. Aminifar; D. Atienza Alonso 

2020-05-17. IEEE International Symposium on Circuits and Systems – ISCAS 2020, Seville, Spain, May 17-21, 2020.

Constraint-aware neural networks for Riemann problems

J. Magiera; D. Ray; J. S. Hesthaven; C. Rohde 

Journal Of Computational Physics. 2020-05-15. Vol. 409, p. 109345. DOI : 10.1016/j.jcp.2020.109345.

Multi-View Shape Estimation of Transparent Containers

A. Xompero; R. Sanchez-Matilla; A. Modas; P. Frossard; A. Cavallaro 

2020-05-08. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), [Online event], May 4-8, 2020. DOI : 10.1109/ICASSP40776.2020.9054112.

Optimization for Reinforcement Learning: From a single agent to cooperative agents

D. Lee; N. He; P. Kamalaruban; V. Cevher 

Ieee Signal Processing Magazine. 2020-05-01. Vol. 37, num. 3, p. 123-135. DOI : 10.1109/MSP.2020.2976000.

Unsupervised Stereo Matching Using Confidential Correspondence Consistency

S. Joung; S. Kim; K. Park; K. Sohn 

Ieee Transactions On Intelligent Transportation Systems. 2020-05-01. Vol. 21, num. 5, p. 2190-2203. DOI : 10.1109/TITS.2019.2917538.

Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers

M. Ehrmann; M. Romanello; S. Bircher; S. Clematide 

2020-04-08. ECIR 2020 : 42nd European Conference on Information Retrieval, Lisbon, Portugal, April 14-17, 2020. p. 524-532. DOI : 10.1007/978-3-030-45442-5_68.

ExprADA: Adversarial domain adaptation for facial expression analysis

S. Bozorgtabar; D. Mahapatra; J-P. Thiran 

Pattern Recognition. 2020-04-01. Vol. 100, p. 107111. DOI : 10.1016/j.patcog.2019.107111.

Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations

B. Ranković; S. Smirnow; M. Jaggi; M. J. Tomasik 

2020-03-23. LAK20 – 10th International Conference on Learning Analytics & Knowledge, Mars 23, 2020.

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

M. El Helou; S. Süsstrunk 

2020-03-04. IEEE Transactions on Image Processing (TIP). p. 4885 – 4897. DOI : 10.1109/TIP.2020.2976814.

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

P. Maggi; M. J. Fartaria; J. Jorge; F. La Rosa; M. Absinta et al. 

Nmr In Biomedicine. 2020-03-03.  p. e4283. DOI : 10.1002/nbm.4283.

Classification of tokamak plasma confinement states with convolutional recurrent neural networks

F. Matos; V. Menkovski; F. Felici; A. Pau; F. Jenko 

Nuclear Fusion. 2020-03-01. Vol. 60, num. 3, p. 036022. DOI : 10.1088/1741-4326/ab6c7a.

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

U. Tegin; B. Rahmani; E. Kakkava; N. Borhani; C. Moser et al. 

Apl Photonics. 2020-03-01. Vol. 5, num. 3, p. 030804. DOI : 10.1063/1.5138131.

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

S. Ali; F. Zhou; B. Braden; A. Bailey; S. Yang et al. 

Scientific Reports. 2020-02-17. Vol. 10, num. 1, p. 2748. DOI : 10.1038/s41598-020-59413-5.

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. 

2020-02-14

Collaborative Sampling in Generative Adversarial Networks

Y. Liu; P. A. Kothari; A. Alahi 

2020-02-11. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, February 7-12, 2020. p. 4948-4956. DOI : 10.1609/aaai.v34i04.5933.

(Geometry Aware) Deep Learning-based Omnidirectional Image Compression

Y. Sepehri 

2020-02-06.

Annealing and Replica-Symmetry in Deep Boltzmann Machines

D. Alberici; A. Barra; P. Contucci; E. Mingione 

Journal Of Statistical Physics. 2020-02-05. DOI : 10.1007/s10955-020-02495-2.

Deep-learning projector for optical diffraction tomography

F. Yang; T-A. Pham; H. Gupta; M. Unser; J. Ma 

Optics Express. 2020-02-03. Vol. 28, num. 3, p. 3905-3921. DOI : 10.1364/OE.381413.

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

C. Capelo 

2020-02-03.

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

M. Kozinski; A. Mosinska; M. Salzmann; P. Fua 

Medical Image Analysis. 2020-02-01. Vol. 60, p. 101590. DOI : 10.1016/j.media.2019.101590.

Scaling description of generalization with number of parameters in deep learning

M. Geiger; A. Jacot; S. Spigler; F. Gabriel; L. Sagun et al. 

Journal Of Statistical Mechanics-Theory And Experiment. 2020-02-01. Vol. 2020, num. 2, p. 023401. DOI : 10.1088/1742-5468/ab633c.

Vision based pixel-level bridge structural damage detection using a link ASPP network

W. Deng; Y. Mou; T. Kashiwa; S. Escalera; K. Nagai et al. 

Automation In Construction. 2020-02-01. Vol. 110, p. 102973. DOI : 10.1016/j.autcon.2019.102973.

Deep learning tools for the measurement of animal behavior in neuroscience

M. W. Mathis; A. Mathis 

Current Opinion in Neurobiology. 2020. Vol. 60, p. 1-11. DOI : 10.1016/j.conb.2019.10.008.

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

K. Pitas / P. Vandergheynst (Dir.)  

Lausanne, EPFL, 2020. 

Automatic detection of hand hygiene using computer vision technology

A. Singh; A. Haque; A. Alahi; s. Yeung; m. Guo et al. 

Journal of the American Medical Informatics Association. 2020. Vol. 27, num. 8, p. 1316-1320. DOI : 10.1093/jamia/ocaa115.

Removing Structured Noise With Self-Supervised Blind-Spot Networks

C. Broaddus; A. Krull; M. Weigert; U. Schmidt; G. Myers 

2020-01-01. IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa, IA, Apr 03-07, 2020. p. 159-163.

UCLID-Net: Single View Reconstruction in Object Space

B. Guillard; E. Remelli; P. Fua 

2020. 34th Conference on Neural Information Processing Systems, Virtual, December 6-12, 2020.

Image Restoration using Plug-and-Play CNN MAP Denoisers

S. Bigdeli; D. Honzatko; S. Suesstrunk; L. A. Dunbar 

2020-01-01. 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 15th International Conference on Computer Vision Theory and Applications (VISAPP), Valletta, MALTA, Feb 27-29, 2020. p. 85-92. DOI : 10.5220/0008990700850092.

Learning approaches to high-fidelity optical diffraction tomography

J. Lim / D. Psaltis (Dir.)  

Lausanne, EPFL, 2020. 

Image Compression and Quality Assessment using Convolutional Neural Networks

P. Akyazi / T. Ebrahimi (Dir.)  

Lausanne, EPFL, 2020. 

Data-Aware Privacy-Preserving Machine Learning

A. Triastcyn / B. Faltings (Dir.)  

Lausanne, EPFL, 2020. 

From Classical to Unsupervised-Deep-Learning Methods for Solving Inverse Problems in Imaging.

H. Gupta / M. Unser (Dir.)  

Lausanne, EPFL, 2020. 

Wavefront shaping and deep learning in fiber endoscopy

E. Kakkava / D. Psaltis (Dir.)  

Lausanne, EPFL, 2020. 

Truthful, Transparent and Fair Data Collection Mechanisms

N. Goel / B. Faltings (Dir.)  

Lausanne, EPFL, 2020. 

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

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

Ieee Transactions On Signal Processing. 2020-01-01. Vol. 68, p. 4688-4699. DOI : 10.1109/TSP.2020.3014611.

Methods for strong gravitational lens detection and analysis using machine learning and high performance computing

C. E. R. Schäfer / J-P. R. Kneib (Dir.)  

Lausanne, EPFL, 2020. 

Comparison of crack segmentation using digital image correlation measurements and deep learning

A. Rezaie; R. Achanta; M. Godio; K. Beyer 

Construction and Building Materials. 2020. Vol. 261, p. 1-12, 120474. DOI : 10.1016/j.conbuildmat.2020.120474.

Reconstruction Methods for Cryo-Electron Microscopy: From Model-based to Data-driven

L. Donati / M. Unser; D. Sage (Dir.)  

Lausanne, EPFL, 2020. 

Data Structures and Algorithms for Logic Synthesis in Advanced Technologies

E. Testa / G. De Micheli; M. Soeken (Dir.)  

Lausanne, EPFL, 2020. 

Towards neural network approaches for point cloud compression

E. Alexiou; K. Tung; T. Ebrahimi 

2020. SPIE Optical Engineering + Applications, Online, August 24-28, 2020. p. 1151008. DOI : 10.1117/12.2569115.

W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping

R. Zhou; M. El Helou; D. Sage; T. Laroche; A. Seitz et al. 

2020. European Conference on Computer Vision Workshops 2020, Glasgow, United Kingdom, August 23-28, 2020.

Single Image Deraining Using Time-Lapse Data

J. Cho; S. Kim; D. Min; K. Sohn 

Ieee Transactions On Image Processing. 2020-01-01. Vol. 29, p. 7274-7289. DOI : 10.1109/TIP.2020.3000612.

Towards Real-World Super-Resolution using Deep Neural Networks

R. Zhou / S. Süsstrunk (Dir.)  

Lausanne, EPFL, 2020. 

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

P. T. Sivaprasad; F. Mai; T. Vogels; M. Jaggi; F. Fleuret 

2020. 37th International Conference on Machine Learning, Vienna, Austria.

Redundant features can hurt robustness to distribution shift

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

2020. ICML 2020 Workshop on Uncertainty & Robustness in Deep Learning, [Online event], July 17, 2020.

Deep Generative Models and Applications

T. Chavdarova / F. Fleuret (Dir.)  

Lausanne, EPFL, 2020. 

Neural Network Based End-to-End Query by Example Spoken Term Detection

D. Ram; L. Miculicich; H. Bourlard 

Ieee-Acm Transactions On Audio Speech And Language Processing. 2020-01-01. Vol. 28, p. 1416-1427. DOI : 10.1109/TASLP.2020.2988788.

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

P. U. Wickramasinghe; E. Remelli; G. Knott; P. Fua 

2020. 23rd International Conference On Medical Image Computing & Computer Assisted Intervention, Lima, Peru, 4-8 OCTOBER 2020.

Dynamic Model Pruning with Feedback

T. Lin; S. U. Stich; L. F. Barba Flores; D. Dmitriev; M. Jaggi 

2020. 8th International Conference on Learning Representations (ICLR), Virtual Conference, Formerly Addis Ababa, Ethiopia, April 26-30, 2020.

Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques

R. Sahu; S. R. Dash; L. A. Cacha; R. R. Poznanski; S. Parida 

Journal of Integrative Neuroscience. 2020. Vol. 19, num. 1, p. 1-9. DOI : 10.31083/j.jin.2020.01.24.

Trustworthy Face Recognition: Improving Generalization of Deep Face Presentation Attack Detection

A. Mohammadi / H. Bourlard; S. Marcel (Dir.)  

Lausanne, EPFL, 2020. 

IMPROVING CROSS-DATASET PERFORMANCE OF FACE PRESENTATION ATTACK DETECTION SYSTEMS USING FACE RECOGNITION DATASETS

A. Mohammadi; S. Bhattacharjee; S. Marcel 

2020. 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain,

Learning stereo reconstruction with deep neural networks

S. Tulyakov / F. Fleuret; A. Ivanov (Dir.)  

Lausanne, EPFL, 2020. 

Crowding and the Architecture of the Visual System

A. C. Doerig / M. Herzog (Dir.)  

Lausanne, EPFL, 2020. 

Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems

A. S. J. Levisse; M. A. Rios; M. Peon Quiros; D. Atienza Alonso 

2020. 45th International Conference on Acoustics, Speech, and Signal Processing _ ICASSP 2020, Barcelona, Spain, 4-6 May, 2020.

Byzantine machine learning

E. M. El Mhamdi; R. Guerraoui; S. Rouault; M. Taziki 

WO2020011361.

2020.

What graph neural networks cannot learn: depth vs width

A. Loukas 

2020. International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.

Sparse and Parametric Modeling with Applications to Acoustics and Audio

H. Peic Tukuljac / P. Vandergheynst; H. Lissek (Dir.)  

Lausanne, EPFL, 2020. 

Multi-memristive synaptic architectures for training neural networks

I. Boybat Kara / Y. Leblebici; A. Sebastian (Dir.)  

Lausanne, EPFL, 2020.