Eric W. Tramel

According to our database, Eric W. Tramel authored at least 34 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Semi-Supervised Federated Learning for Keyword Spotting.

Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

2022

Self-Aware Personalized Federated Learning.

Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Learning Challenges and Opportunities: An Outlook.

Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Differentially Private Federated Learning for Cancer Prediction.

Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel

CoRR, 2021

2020

SAFER: Sparse secure Aggregation for FEderated leaRning.

Constance Beguier, Eric W. Tramel

CoRR, 2020

Siloed Federated Learning for Multi-centric Histopathology Datasets.

Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Efficient Per-Example Gradient Computations in Convolutional Neural Networks.

Gaspar Rochette, Andre Manoel, Eric W. Tramel

CoRR, 2019

2018

ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors.

Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib

CoRR, 2018

Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach.

Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib

CoRR, 2018

2017

A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines.

Eric W. Tramel, Marylou Gabrié, Andre Manoel, Francesco Caltagirone, Florent Krzakala

CoRR, 2017

Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing.

Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).

Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang

CoRR, 2016

Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines.

Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala

Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach.

Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Approximate Message Passing with Restricted Boltzmann Machine Priors.

Eric W. Tramel, Angélique Drémeau, Florent Krzakala

CoRR, 2015

Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system.

Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet

CoRR, 2015

Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy.

Marylou Gabrié, Eric W. Tramel, Florent Krzakala

CoRR, 2015

Scampi: a robust approximate message-passing framework for compressive imaging.

Jean Barbier, Eric W. Tramel, Florent Krzakala

CoRR, 2015

Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy.

Marylou Gabrié, Eric W. Tramel, Florent Krzakala

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Swept Approximate Message Passing for Sparse Estimation.

Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Nearest Regularized Subspace for Hyperspectral Classification.

Wei Li, Eric W. Tramel, Saurabh Prasad, James E. Fowler

IEEE Trans. Geosci. Remote. Sens., 2014

Reconstruction of Hyperspectral Imagery From Random Projections Using Multihypothesis Prediction.

Chen Chen, Wei Li, Eric W. Tramel, James E. Fowler

IEEE Trans. Geosci. Remote. Sens., 2014

Spectral-Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification.

Chen Chen, Wei Li, Eric W. Tramel, Minshan Cui, Saurabh Prasad, James E. Fowler

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Compressed-sensing recovery of multiview image and video sequences using signal prediction.

Maria Trocan, Eric W. Tramel, James E. Fowler, Béatrice Pesquet

Multim. Tools Appl., 2014

Statistical Estimation: From Denoising to Sparse Regression and Hidden Cliques.

Eric W. Tramel, Santhosh Kumar, Andrei Giurgiu, Andrea Montanari

CoRR, 2014

Sparse Estimation with the Swept Approximated Message-Passing Algorithm.

Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová

CoRR, 2014

Variational free energies for compressed sensing.

Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Decision fusion for hyperspectral image classification based on minimum-distance classifiers in thewavelet domain.

Wei Li, Saurabh Prasad, Eric W. Tramel, James E. Fowler, Qian Du

Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2012

Block-Based Compressed Sensing of Images and Video.

James E. Fowler, Sungkwang Mun, Eric W. Tramel

Found. Trends Signal Process., 2012

2011

Multiscale block compressed sensing with smoothed projected Landweber reconstruction.

James E. Fowler, Sungkwang Mun, Eric W. Tramel

Proceedings of the 19th European Signal Processing Conference, 2011

Video Compressed Sensing with Multihypothesis.

Eric W. Tramel, James E. Fowler

Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

Compressed-sensing recovery of images and video using multihypothesis predictions.

Chen Chen, Eric W. Tramel, James E. Fowler

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Multistage compressed-sensing reconstruction of multiview images.

Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu

Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010

Compressed sensing of multiview images using disparity compensation.

Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu

Proceedings of the International Conference on Image Processing, 2010