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ORCIDEric W. Tramel
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Journal Articles
- 2014
[j5]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): 95-121 (2014)- [j4]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): 1047-1059 (2014) - [j3]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): 365-374 (2014) - [j2]Wei Li, Eric W. Tramel, Saurabh Prasad, James E. Fowler:
Nearest Regularized Subspace for Hyperspectral Classification. IEEE Trans. Geosci. Remote. Sens. 52(1): 477-489 (2014) - 2012
- [j1]James E. Fowler, Sungkwang Mun, Eric W. Tramel:
Block-Based Compressed Sensing of Images and Video. Found. Trends Signal Process. 4(4): 297-416 (2012)
Conference and Workshop Papers
- 2023
- [c16]Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang:
Semi-Supervised Federated Learning for Keyword Spotting. ICME Workshops 2023: 466-469 - 2022
- [c15]Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang:
Federated Learning Challenges and Opportunities: An Outlook. ICASSP 2022: 8752-8756 - [c14]Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang:
Self-Aware Personalized Federated Learning. NeurIPS 2022 - 2020
- [c13]Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel:
Siloed Federated Learning for Multi-centric Histopathology Datasets. DART/DCL@MICCAI 2020: 129-139 - 2017
- [c12]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing. Allerton 2017: 1048-1055 - 2016
- [c11]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: 4054-4058 - [c10]Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala:
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines. ITW 2016: 265-269 - 2015
- [c9]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Swept Approximate Message Passing for Sparse Estimation. ICML 2015: 1123-1132 - [c8]Marylou Gabrié, Eric W. Tramel, Florent Krzakala:
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy. NIPS 2015: 640-648 - 2014
- [c7]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: 162-165 - [c6]Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová:
Variational free energies for compressed sensing. ISIT 2014: 1499-1503 - 2011
- [c5]Chen Chen, Eric W. Tramel, James E. Fowler:
Compressed-sensing recovery of images and video using multihypothesis predictions. ACSCC 2011: 1193-1198 - [c4]Eric W. Tramel, James E. Fowler:
Video Compressed Sensing with Multihypothesis. DCC 2011: 193-202 - [c3]James E. Fowler, Sungkwang Mun, Eric W. Tramel:
Multiscale block compressed sensing with smoothed projected Landweber reconstruction. EUSIPCO 2011: 564-568 - 2010
- [c2]Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu:
Compressed sensing of multiview images using disparity compensation. ICIP 2010: 3345-3348 - [c1]Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, Béatrice Pesquet-Popescu:
Multistage compressed-sensing reconstruction of multiview images. MMSP 2010: 111-115
Informal and Other Publications
- 2024
- [i21]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 abs/2405.01488 (2024) - 2023
- [i20]Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang:
Semi-Supervised Federated Learning for Keyword Spotting. CoRR abs/2305.05110 (2023) - 2022
- [i19]Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang:
Federated Learning Challenges and Opportunities: An Outlook. CoRR abs/2202.00807 (2022) - [i18]Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang:
Self-Aware Personalized Federated Learning. CoRR abs/2204.08069 (2022) - 2021
- [i17]Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel:
Differentially Private Federated Learning for Cancer Prediction. CoRR abs/2101.02997 (2021) - 2020
- [i16]Constance Beguier, Eric W. Tramel:
SAFER: Sparse secure Aggregation for FEderated leaRning. CoRR abs/2007.14861 (2020) - [i15]Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel:
Siloed Federated Learning for Multi-Centric Histopathology Datasets. CoRR abs/2008.07424 (2020) - 2019
- [i14]Gaspar Rochette, Andre Manoel, Eric W. Tramel:
Efficient Per-Example Gradient Computations in Convolutional Neural Networks. CoRR abs/1912.06015 (2019) - 2018
- [i13]Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib:
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach. CoRR abs/1802.02212 (2018) - [i12]Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib:
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors. CoRR abs/1806.04449 (2018) - 2017
- [i11]Eric W. Tramel, Marylou Gabrié, Andre Manoel, Francesco Caltagirone, Florent Krzakala:
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines. CoRR abs/1702.03260 (2017) - [i10]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. CoRR abs/1706.00705 (2017) - 2016
- [i9]Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala:
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines. CoRR abs/1606.03956 (2016) - [i8]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 abs/1609.04167 (2016) - 2015
- [i7]Eric W. Tramel, Angélique Drémeau, Florent Krzakala:
Approximate Message Passing with Restricted Boltzmann Machine Priors. CoRR abs/1502.06470 (2015) - [i6]Marylou Gabrié, Eric W. Tramel, Florent Krzakala:
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy. CoRR abs/1506.02914 (2015) - [i5]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 abs/1510.01098 (2015) - [i4]Jean Barbier, Eric W. Tramel, Florent Krzakala:
Scampi: a robust approximate message-passing framework for compressive imaging. CoRR abs/1511.05860 (2015) - 2014
- [i3]Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová:
Variational Free Energies for Compressed Sensing. CoRR abs/1402.1384 (2014) - [i2]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Sparse Estimation with the Swept Approximated Message-Passing Algorithm. CoRR abs/1406.4311 (2014) - [i1]Eric W. Tramel, Santhosh Kumar, Andrei Giurgiu, Andrea Montanari:
Statistical Estimation: From Denoising to Sparse Regression and Hidden Cliques. CoRR abs/1409.5557 (2014)
Coauthor Index
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