Hugo Soulat

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Generative Model

Tensor Decomposition

Discriminative Models

Top Venues

Publications

William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani
Unsupervised representation learning with recognition-parametrised probabilistic models. AISTATS (2023)
Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
Amortised Inference in Structured Generative Models with Explaining Away. CoRR (2022)
William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani
Unsupervised representational learning with recognition-parametrised probabilistic models. CoRR (2022)
Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
Structured Recognition for Generative Models with Explaining Away. NeurIPS (2022)
Hugo Soulat, Sepiedeh Keshavarzi, Troy W. Margrie, Maneesh Sahani
Probabilistic Tensor Decomposition of Neural Population Spiking Activity. NeurIPS (2021)
Andrew H. Song, Leon Chlon, Hugo Soulat, John Tauber, Sandya Subramanian, Demba E. Ba, Michael J. Prerau
Multitaper Infinite Hidden Markov Model for EEG. EMBC (2019)
Leon Chlon, Andrew H. Song, Sandya Subramanian, Hugo Soulat, John Tauber, Demba E. Ba, Michael J. Prerau
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference. CoRR (2018)