Sébastien Marmin

According to our database, Sébastien Marmin authored at least 7 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Input uncertainty propagation through trained neural networks.

Paul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer

Proceedings of the International Conference on Machine Learning, 2023

2020

Walsh-Hadamard Variational Inference for Bayesian Deep Learning.

Simone Rossi, Sébastien Marmin, Maurizio Filippone

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units.

Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Efficient Approximate Inference with Walsh-Hadamard Variational Inference.

Simone Rossi, Sébastien Marmin, Maurizio Filippone

CoRR, 2019

2018

Warped Gaussian Processes and Derivative-Based Sequential Designs for Functions with Heterogeneous Variations.

Sébastien Marmin, David Ginsbourger, Jean Baccou, Jacques Liandrat

SIAM/ASA J. Uncertain. Quantification, 2018

Variational Calibration of Computer Models.

Sébastien Marmin, Maurizio Filippone

CoRR, 2018

2015

Differentiating the Multipoint Expected Improvement for Optimal Batch Design.

Sébastien Marmin, Clément Chevalier, David Ginsbourger

Proceedings of the Machine Learning, Optimization, and Big Data, 2015