Eric W. Tramel

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 18

Top Topics

Restricted Boltzmann Machine

Statistical Estimation

Hyperspectral Image Classification

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Multim. Tools Appl.

Publications

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
Digital Twin Generators for Disease Modeling. CoRR (2024)
Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang
Semi-Supervised Federated Learning for Keyword Spotting. CoRR (2023)
Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang
Semi-Supervised Federated Learning for Keyword Spotting. ICME Workshops (2023)
Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
Self-Aware Personalized Federated Learning. NeurIPS (2022)
Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel
Differentially Private Federated Learning for Cancer Prediction. CoRR (2021)
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
Siloed Federated Learning for Multi-centric Histopathology Datasets. DART/DCL@MICCAI (2020)
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
Siloed Federated Learning for Multi-Centric Histopathology Datasets. CoRR (2020)
Constance Beguier, Eric W. Tramel
SAFER: Sparse secure Aggregation for FEderated leaRning. CoRR (2020)
Gaspar Rochette, Andre Manoel, Eric W. Tramel
Efficient Per-Example Gradient Computations in Convolutional Neural Networks. CoRR (2019)
Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors. CoRR (2018)
Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach. CoRR (2018)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. CoRR (2017)
Eric W. Tramel, Marylou Gabrié, Andre Manoel, Francesco Caltagirone, Florent Krzakala
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines. CoRR (2017)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing. Allerton (2017)
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines. CoRR (2016)
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines. ITW (2016)
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
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet
Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach. ICASSP (2016)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Swept Approximate Message Passing for Sparse Estimation. ICML (2015)
Jean Barbier, Eric W. Tramel, Florent Krzakala
Scampi: a robust approximate message-passing framework for compressive imaging. CoRR (2015)
Marylou Gabrié, Eric W. Tramel, Florent Krzakala
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy. CoRR (2015)
Eric W. Tramel, Angélique Drémeau, Florent Krzakala
Approximate Message Passing with Restricted Boltzmann Machine Priors. CoRR (2015)
Marylou Gabrié, Eric W. Tramel, Florent Krzakala
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy. NIPS (2015)
Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet
Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system. CoRR (2015)
Wei Li, Eric W. Tramel, Saurabh Prasad, James E. Fowler
Nearest Regularized Subspace for Hyperspectral Classification. IEEE Trans. Geosci. Remote. Sens. 52 (1) (2014)
Eric W. Tramel, Santhosh Kumar, Andrei Giurgiu, Andrea Montanari
Statistical Estimation: From Denoising to Sparse Regression and Hidden Cliques. CoRR (2014)
Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
Variational Free Energies for Compressed Sensing. CoRR (2014)
Maria Trocan, Eric W. Tramel, James E. Fowler, Béatrice Pesquet
Compressed-sensing recovery of multiview image and video sequences using signal prediction. Multim. Tools Appl. 72 (1) (2014)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Sparse Estimation with the Swept Approximated Message-Passing Algorithm. CoRR (2014)
Chen Chen, Wei Li, Eric W. Tramel, James E. Fowler
Reconstruction of Hyperspectral Imagery From Random Projections Using Multihypothesis Prediction. IEEE Trans. Geosci. Remote. Sens. 52 (1) (2014)
Chen Chen, Wei Li, Eric W. Tramel, Minshan Cui, Saurabh Prasad, James E. Fowler
Spectral-Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (4) (2014)
Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
Variational free energies for compressed sensing. ISIT (2014)
Wei Li, Saurabh Prasad, Eric W. Tramel, James E. Fowler, Qian Du
Decision fusion for hyperspectral image classification based on minimum-distance classifiers in thewavelet domain. ChinaSIP (2014)
James E. Fowler, Sungkwang Mun, Eric W. Tramel
Block-Based Compressed Sensing of Images and Video. Found. Trends Signal Process. 4 (4) (2012)
James E. Fowler, Sungkwang Mun, Eric W. Tramel
Multiscale block compressed sensing with smoothed projected Landweber reconstruction. EUSIPCO (2011)
Chen Chen, Eric W. Tramel, James E. Fowler
Compressed-sensing recovery of images and video using multihypothesis predictions. ACSCC (2011)
Eric W. Tramel, James E. Fowler
Video Compressed Sensing with Multihypothesis. DCC (2011)
Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu
Multistage compressed-sensing reconstruction of multiview images. MMSP (2010)
Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu
Compressed sensing of multiview images using disparity compensation. ICIP (2010)