E. W. Tramel, " Federated Learning: Rewards & Challenges of Distributed Private ML ," *Qcon.ai (San Francisco, USA)*, 2019.

E. W. Tramel, " (Panelist) Federated Learning: ML with Privacy on the Edge ," *Fast Forward Labs Webinar*, 2018.

E. W. Tramel, " Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines ," *International Traveling Workshop on Interactions between Sparse Models and Technology (iTWIST)*, 2016.

E. W. Tramel, " Introduction to Compressed Sensing ," *École de Physique des Houches, «Biophysique: de la Mesure au Modèle en biologie»*, 2015.

E. W. Tramel, " Discrete Reconstruction for Electron Tomography ," *General Congress of the Société Fracaise de Physique*, 2015.

E. W. Tramel, " Belief Propagation & Approximations: Discrete Tomography ," *Workshop on Sparse Tomographic Reconstruction: Theoretical and Numerical Aspects*, 2015.

E. W. Tramel, " A probabilistic approach to compressed sensing: Robust Algorithms ," *International Traveling Workshop on Interactions between Sparse Models and Technology (iTWIST)*, 2014.

G. Rochette, A. Manoel, E. W. Tramel, " Efficient Per-Example Gradient Computations in Convolutional Neural Networks ," *arXiv [cs.LG]: 1912.06015*, 2019.

P. Courtiol, E. W. Tramel, M. Sanselme, & G. Wainrib, " Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach ," *arXiv [stat.ML]: 1802.02212*, 2018.

B. Goujaud, E. W. Tramel, P. Courtiol. M. Zaslavskiy, & G. Wainrib, " Robust Detection of Covariate-Treatment Interactions in Clinical Trials ," *arXiv [stat.AP]: 1712.08211*, 2017.

F.Krzakala, F. Ricci-Tersenghi, L. Zdeborová, R. Zecchina, E. W. Tramel, & L. F. Cugliandolo, " Statistical Physics, Optimization, Inference, and Message-Passing Algorithms ," *Oxford University Press*, 2016.

J. E. Fowler, S. Mun, & E. W. Tramel, " Block-based Compressed Sensing of Images and Video ," *Foundations and Trends in Signal Processing*, 2012.

E. W. Tramel, " Distance-Weighted Regularization for Compressed-Sensing Video Recovery and Supervised Hyperspectral Classification ," *Mississippi State University (Dissertation)*, 2012.

E. W. Tramel, S. Kumar, A. Giurgiu, & A. Montanari, " Statistical Estimation: From Denoising to Sparse Regression and Hidden Cliques ," *Statistical Physics, Optimization, Inference, and Message-Passing Algorithms, Oxford University Press*, 2016.

M. Zaslavskiy, S. Jégou, E. W. Tramel, & G. Wainrib, " ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors ," *Computational Toxicology*, 2019.

E. W. Tramel, M. Gabrié, A. Manoel, F. Caltagirone, F. Krzakala, " Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines ," *Physical Review X*, 2018.

E. W. Tramel, A. Dremeau, & F. Krzakala, " Approximate Message Passing with Restricted Boltzmann Machine Priors ," *Journal of Statistical Mechanics: Theory and Experiment (JSTAT)*, 2016.

M. Trocan, E. W. Tramel, J. E. Fowler, & B. Pesquet-Popescu, " Compressed-Sensing Recovery of Multiview Image and Video Sequences using Signal Prediction ," *Multimedia Tools and Applications*, 2014.

C. Chen, W. Li, E. W. Tramel, M. Cui, S. Prasad, & J. E. Fowler, " Spectral-Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification ," *IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing*, 2014.

C. Chen, W. Li, E. W. Tramel, & J. E. Fowler, " Reconstruction of Hyperspectral Imagery from Random Projections using Multihypothesis Prediction ," *IEEE Transactions on Geoscience and Remote Sensing*, 2014.

W. Li, E. W. Tramel, S. Prasad, & J. E. Fowler, " Nearest Regularized Subspace for Hyperspectral Classification ," *IEEE Transactions on Geoscience and Remote Sensing*, 2013.

Ankit Mohan, Siu-Kei Tin, & Eric W. Tramel, " Systems and Methods for Compressive Light Sensing Using Multiple Spatial Light Modulators ," *US Patent No. US9160900 B2*, 2015.

A. Manoel, F. Krzakala, E. W. Tramel, & L. Zdeborová, " Streaming Bayesian Inference: Theoretical Limits and Mini-batch Approximate Message-Passing ," *Proc. Allerton Conf. on Comm. Control & Comp.*, 2017.

E. W. Tramel, A. Manoel, F. Caltagirone, M. Gabrié, & F. Krzakala, " Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines ," *Proc. IEEE Info. Theory Workshop*, 2016.

B. Rajaei, E. W. Tramel, S. Gigan, F. Krzakala, & L. Daudet, " Intensity-only Optical Compressive Imaging Using a Multiply Scattering Material: A Double Phase Retrieval System ," *Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)*, 2016.

J. Barbier, E. W. Tramel, & F. Krzakala, " Scampi: A Robust Approximate Message-Passing Framework for Compressive Imaging ," *Proc. Int. Mtg. on High-Dimensional Data Driven Science (HD^3)*, 2015.

M. Gabrié, E. W. Tramel, & F. Krzakala, " Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy ," *Neural and Information Processing Symposium (NIPS)*, 2015.

A. Manoel, E. W. Tramel, F. Krzakala, & L. Zdeborová, " Sparse Estimation with the Swept Approximated Message-Passing Algorithm ," *Proc. Int. Conf. on Machine Learning (ICML)*, 2015.

F. Krzakala, A. Manoel, E. W. Tramel, & L. Zdeborová, " Variational Free Energies for Compressed Sensing ," *Proc. IEEE Int. Symp. on Information Theory (ISIT)*, 2014.

W. Li, S. Prasad, E. W. Tramel, J. E. Fowler, & Q. Du, " Decision Fusion for Hyperspectral Image Classification Based on Minimum-Distance Classifiers in the Wavelet Domain ," *IEEE China Summit on Signal and Info. Processing*, 2014.

C. Chen, E. W. Tramel, & J. E. Fowler, " Compressed-sensing Recovery of Images and Video Using Multihypothesis Predictions ," *Asilomar Conf. on Signals, Systems, and Computers*, 2011.

J. E. Fowler and S. Mun, & E. W. Tramel, " Multiscale Block Compressed Sensing with Smoothed Projected Landweber Reconstruction ," *Proc. European Signal Processing Conf. (EUSIPCO)*, 2011.

E. W. Tramel & J. E. Fowler, " Video Compressed Sensing with Multihypothesis ," *Proc. of the IEEE Data Compression Conf. (DCC)*, 2011.

M. Trocan, T. Maugey, E. W. Tramel, J. E. Fowler, & B. Pesquet-Popescu, " Multistage Compressed-Sensing Reconstruction of Multiview Images ," *Proc. of the IEEE Int. Workshop on Multimedia Signal Processing (MMSP)*, 2010.

M. Trocan, T. Maugey, E. W. Tramel, J. E. Fowler, & B. Pesquet-Popescu, " Compressed Sensing of Multiview Images using Disparity Compensation ," *Proc. of the IEEE Int. Conf. on Image Processing (ICIP)*, 2010.

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