Elisabeth Gassiat

33 papers A* 1Misc 1Journal 31
YearRankTypeTitle / Venue / Authors
2025 J jnl
Frontiers to the learning of nonparametric hidden Markov models.
J. Mach. Learn. Res.
Kweku Abraham, Elisabeth Gassiat, Zacharie Naulet
2025 J jnl
Fundamental Limits of Membership Inference Attacks on Machine Learning Models.
J. Mach. Learn. Res.
Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida
2025 J jnl
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study.
CoRR
Eric Aubinais, Philippe Formont, Pablo Piantanida, Elisabeth Gassiat
2025 J jnl
Tree-based variational inference for Poisson log-normal models.
Stat. Comput.
Alexandre Chaussard, Anna Bonnet, Elisabeth Gassiat, Sylvain Le Corff
2024 J jnl
Additive smoothing error in backward variational inference for general state-space models.
J. Mach. Learn. Res.
Mathis Chagneux, Elisabeth Gassiat, Pierre Gloaguen, Sylvain Le Corff
2024 J jnl
Variational excess risk bound for general state space models.
Trans. Mach. Learn. Res.
Elisabeth Gassiat, Sylvain Le Corff
2023 J jnl
Fundamental Limits for Learning Hidden Markov Model Parameters.
IEEE Trans. Inf. Theory
Kweku Abraham, Elisabeth Gassiat, Zacharie Naulet
2023 J jnl
Fundamental Limits of Membership Inference Attacks on Machine Learning Models.
CoRR
Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida
2022 J jnl
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach.
J. Mach. Learn. Res.
Kweku Abraham, Ismael Castillo, Elisabeth Gassiat
2021 A* conf
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.
NeurIPS
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen
2021 J jnl
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.
CoRR
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen
2021 J jnl
Fundamental limits for learning hidden Markov model parameters.
CoRR
Kweku Abraham, Zacharie Naulet, Elisabeth Gassiat
2021 J jnl
Joint self-supervised blind denoising and noise estimation.
CoRR
Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff
2020 J jnl
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space.
J. Mach. Learn. Res.
Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy
2017 J jnl
Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models.
IEEE Trans. Inf. Theory
Yohann de Castro, Elisabeth Gassiat, Sylvain Le Corff
2016 J jnl
Inference in finite state space non parametric Hidden Markov Models and applications.
Stat. Comput.
Elisabeth Gassiat, Alice Cleynen, Stéphane Robin
2016 J jnl
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models.
J. Mach. Learn. Res.
Yohann de Castro, Elisabeth Gassiat, Claire Lacour
2016 J jnl
Pattern Coding Meets Censoring: (almost) Adaptive Coding on Countable Alphabets.
CoRR
Anna Ben-Hamou, Stéphane Boucheron, Elisabeth Gassiat
2015 J jnl
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes.
IEEE Trans. Inf. Theory
Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian
2014 J jnl
About Adaptive Coding on Countable Alphabets.
IEEE Trans. Inf. Theory
Dominique Bontemps, Stéphane Boucheron, Elisabeth Gassiat
2014 J jnl
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes.
CoRR
Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian
2013 J jnl
Consistent Order Estimation and Minimal Penalties.
IEEE Trans. Inf. Theory
Elisabeth Gassiat, Ramon van Handel
2009 J jnl
Coding on Countably Infinite Alphabets.
IEEE Trans. Inf. Theory
Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat
2009 J jnl
Variable selection in model-based clustering using multilocus genotype data.
Adv. Data Anal. Classif.
Wilson Toussile, Elisabeth Gassiat
2006 J jnl
Error exponents for AR order testing.
IEEE Trans. Inf. Theory
Stéphane Boucheron, Elisabeth Gassiat
2005 J jnl
A Pairwise Alignment Algorithm Which Favors Clusters of Blocks.
J. Comput. Biol.
Elodie Nédélec, Thomas Moncion, Elisabeth Gassiat, Bruno Bossard, Guillemette Duchateau-Nguyen, Alain Denise, Michel Termier
2003 J jnl
Optimal error exponents in hidden Markov models order estimation.
IEEE Trans. Inf. Theory
Elisabeth Gassiat, Stéphane Boucheron
1999 J jnl
MEM pixel correlated solutions for generalized moment and interpolation problems.
IEEE Trans. Inf. Theory
Imre Csiszár, Fabrice Gamboa, Elisabeth Gassiat
1998 J jnl
Identification of Noisy Linear Systems with Discrete Random Input.
IEEE Trans. Inf. Theory
Elisabeth Gassiat, Emmanuelle Gautherat
1997 Misc conf
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models.
ICASSP
Eric Moulines, Jean-François Cardoso, Elisabeth Gassiat
1997 J jnl
Source separation when the input sources are discrete or have constant modulus.
IEEE Trans. Signal Process.
Fabrice Gamboa, Elisabeth Gassiat
1994 J jnl
The maximum entropy method on the mean: Applications to linear programming and superresolution.
Math. Program.
Fabrice Gamboa, Elisabeth Gassiat
1992 J jnl
On simultaneous signal estimation and parameter identification using a generalized likelihood approach.
IEEE Trans. Inf. Theory
Elisabeth Gassiat, Fabrice Monfront, Yves Goussard