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Elisabeth Gassiat
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Publications
- 2025
- [j22]Alexandre Chaussard
, Anna Bonnet, Elisabeth Gassiat, Sylvain Le Corff:
Tree-based variational inference for Poisson log-normal models. Stat. Comput. 35(5): 135 (2025) - 2024
- [j21]Mathis Chagneux, Elisabeth Gassiat, Pierre Gloaguen, Sylvain Le Corff:
Additive smoothing error in backward variational inference for general state-space models. J. Mach. Learn. Res. 25: 28:1-28:33 (2024) - [j20]Elisabeth Gassiat, Sylvain Le Corff:
Variational excess risk bound for general state space models. Trans. Mach. Learn. Res. 2024 (2024) - 2021
- [c2]Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen:
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA. NeurIPS 2021: 1624-1633 - [i5]Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff:
Joint self-supervised blind denoising and noise estimation. CoRR abs/2102.08023 (2021) - [i4]Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen:
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA. CoRR abs/2106.09620 (2021) - 2020
- [j17]Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy:
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space. J. Mach. Learn. Res. 21: 115:1-115:40 (2020) - 2017
- [j16]Yohann de Castro
, Elisabeth Gassiat, Sylvain Le Corff
:
Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models. IEEE Trans. Inf. Theory 63(8): 4758-4777 (2017)

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