Eric W. Tramel

42 papers A* 2B 4C 1Misc 2Journal 26Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Digital Twin Generators for Disease Modeling.
CoRR
Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex H. Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron M. Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh
2023 — conf
Semi-Supervised Federated Learning for Keyword Spotting.
ICME Workshops
Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang
2023 J jnl
Semi-Supervised Federated Learning for Keyword Spotting.
CoRR
Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang
2022 Misc conf
Federated Learning Challenges and Opportunities: An Outlook.
ICASSP
Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang
2022 J jnl
Federated Learning Challenges and Opportunities: An Outlook.
CoRR
Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang
2022 A* conf
Self-Aware Personalized Federated Learning.
NeurIPS
Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
2022 J jnl
Self-Aware Personalized Federated Learning.
CoRR
Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
2021 J jnl
Differentially Private Federated Learning for Cancer Prediction.
CoRR
Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel
2020 J jnl
SAFER: Sparse secure Aggregation for FEderated leaRning.
CoRR
Constance Beguier, Eric W. Tramel
2020 J jnl
Siloed Federated Learning for Multi-Centric Histopathology Datasets.
CoRR
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
2020 — conf
Siloed Federated Learning for Multi-centric Histopathology Datasets.
DART/DCL@MICCAI
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
2019 J jnl
Efficient Per-Example Gradient Computations in Convolutional Neural Networks.
CoRR
Gaspar Rochette, Andre Manoel, Eric W. Tramel
2018 J jnl
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach.
CoRR
Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib
2018 J jnl
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors.
CoRR
Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib
2017 J jnl
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines.
CoRR
Eric W. Tramel, Marylou Gabrié, Andre Manoel, Francesco Caltagirone, Florent Krzakala
2017 — conf
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing.
Allerton
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2017 J jnl
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing.
CoRR
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2016 J jnl
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines.
CoRR
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
2016 B conf
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines.
ITW
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
2016 Misc conf
Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach.
ICASSP
Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet
2016 J jnl
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR
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
2015 J jnl
Approximate Message Passing with Restricted Boltzmann Machine Priors.
CoRR
Eric W. Tramel, Angélique Drémeau, Florent Krzakala
2015 J jnl
Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system.
CoRR
Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet
2015 J jnl
Scampi: a robust approximate message-passing framework for compressive imaging.
CoRR
Jean Barbier, Eric W. Tramel, Florent Krzakala
2015 A* conf
Swept Approximate Message Passing for Sparse Estimation.
ICML
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2015 — conf
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy.
NIPS
Marylou Gabrié, Eric W. Tramel, Florent Krzakala
2015 J jnl
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy.
CoRR
Marylou Gabrié, Eric W. Tramel, Florent Krzakala
2014 J jnl
Compressed-sensing recovery of multiview image and video sequences using signal prediction.
Multim. Tools Appl.
Maria Trocan, Eric W. Tramel, James E. Fowler, Béatrice Pesquet
2014 — conf
Decision fusion for hyperspectral image classification based on minimum-distance classifiers in thewavelet domain.
ChinaSIP
Wei Li, Saurabh Prasad, Eric W. Tramel, James E. Fowler, Qian Du
2014 J jnl
Nearest Regularized Subspace for Hyperspectral Classification.
IEEE Trans. Geosci. Remote. Sens.
Wei Li, Eric W. Tramel, Saurabh Prasad, James E. Fowler
2014 J jnl
Reconstruction of Hyperspectral Imagery From Random Projections Using Multihypothesis Prediction.
IEEE Trans. Geosci. Remote. Sens.
Chen Chen, Wei Li, Eric W. Tramel, James E. Fowler
2014 J jnl
Sparse Estimation with the Swept Approximated Message-Passing Algorithm.
CoRR
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2014 J jnl
Spectral-Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Chen Chen, Wei Li, Eric W. Tramel, Minshan Cui, Saurabh Prasad, James E. Fowler
2014 J jnl
Statistical Estimation: From Denoising to Sparse Regression and Hidden Cliques.
CoRR
Eric W. Tramel, Santhosh Kumar, Andrei Giurgiu, Andrea Montanari
2014 J jnl
Variational Free Energies for Compressed Sensing.
CoRR
Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
2014 B conf
Variational free energies for compressed sensing.
ISIT
Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
2012 J jnl
Block-Based Compressed Sensing of Images and Video.
Found. Trends Signal Process.
James E. Fowler, Sungkwang Mun, Eric W. Tramel
2011 — conf
Compressed-sensing recovery of images and video using multihypothesis predictions.
ACSCC
Chen Chen, Eric W. Tramel, James E. Fowler
2011 — conf
Multiscale block compressed sensing with smoothed projected Landweber reconstruction.
EUSIPCO
James E. Fowler, Sungkwang Mun, Eric W. Tramel
2011 B conf
Video Compressed Sensing with Multihypothesis.
DCC
Eric W. Tramel, James E. Fowler
2010 B conf
Compressed sensing of multiview images using disparity compensation.
ICIP
Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu
2010 C conf
Multistage compressed-sensing reconstruction of multiview images.
MMSP
Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu