Sébastien Marmin

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 8

Top Topics

Trained Neural Networks

Variational Inference

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Paul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer
Input uncertainty propagation through trained neural networks. ICML (2023)
Simone Rossi, Sébastien Marmin, Maurizio Filippone
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. NeurIPS (2020)
Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. ICASSP (2020)
Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
Kernel computations from large-scale random features obtained by Optical Processing Units. CoRR (2019)
Simone Rossi, Sébastien Marmin, Maurizio Filippone
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. CoRR (2019)
Simone Rossi, Sébastien Marmin, Maurizio Filippone
Efficient Approximate Inference with Walsh-Hadamard Variational Inference. CoRR (2019)
Sébastien Marmin, David Ginsbourger, Jean Baccou, Jacques Liandrat
Warped Gaussian Processes and Derivative-Based Sequential Designs for Functions with Heterogeneous Variations. SIAM/ASA J. Uncertain. Quantification 6 (3) (2018)
Sébastien Marmin, Maurizio Filippone
Variational Calibration of Computer Models. CoRR (2018)
Sébastien Marmin, Clément Chevalier, David Ginsbourger
Differentiating the Multipoint Expected Improvement for Optimal Batch Design. MOD (2015)