On simultaneous signal estimation and parameter identification using a generalized likelihood approach. - Elisabeth Gassiat; Fabrice Monfront; Yves Goussard (IEEE Trans. Inf. Theory, 1992)

The maximum entropy method on the mean: Applications to linear programming and superresolution. - Fabrice Gamboa; Elisabeth Gassiat (Math. Program., 1994)

Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. - Eric Moulines; Jean-François Cardoso; Elisabeth Gassiat (ICASSP, 1997)

Source separation when the input sources are discrete or have constant modulus. - Fabrice Gamboa; Elisabeth Gassiat (IEEE Trans. Signal Process., 1997)

Identification of Noisy Linear Systems with Discrete Random Input. - Elisabeth Gassiat; Emmanuelle Gautherat (IEEE Trans. Inf. Theory, 1998)

MEM pixel correlated solutions for generalized moment and interpolation problems. - Imre Csiszár; Fabrice Gamboa; Elisabeth Gassiat (IEEE Trans. Inf. Theory, 1999)

Optimal error exponents in hidden Markov models order estimation. - Elisabeth Gassiat; Stéphane Boucheron (IEEE Trans. Inf. Theory, 2003)

A Pairwise Alignment Algorithm Which Favors Clusters of Blocks. - Elodie Nédélec; Thomas Moncion; Elisabeth Gassiat; Bruno Bossard; Guillemette Duchateau-Nguyen; Alain Denise; Michel Termier (J. Comput. Biol., 2005)

Error exponents for AR order testing. - Stéphane Boucheron; Elisabeth Gassiat (IEEE Trans. Inf. Theory, 2006)

Variable selection in model-based clustering using multilocus genotype data. - Wilson Toussile; Elisabeth Gassiat (Adv. Data Anal. Classif., 2009)

Coding on Countably Infinite Alphabets. - Stéphane Boucheron; Aurélien Garivier; Elisabeth Gassiat (IEEE Trans. Inf. Theory, 2009)

Consistent Order Estimation and Minimal Penalties. - Elisabeth Gassiat; Ramon van Handel (IEEE Trans. Inf. Theory, 2013)

About Adaptive Coding on Countable Alphabets. - Dominique Bontemps; Stéphane Boucheron; Elisabeth Gassiat (IEEE Trans. Inf. Theory, 2014)

About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes. - Stéphane Boucheron; Elisabeth Gassiat; Mesrob I. Ohannessian (IEEE Trans. Inf. Theory, 2015)

Pattern Coding Meets Censoring: (almost) Adaptive Coding on Countable Alphabets. - Anna Ben-Hamou; Stéphane Boucheron; Elisabeth Gassiat (CoRR, 2016)

Minimax Adaptive Estimation of Nonparametric Hidden Markov Models. - Yohann de Castro; Elisabeth Gassiat; Claire Lacour (J. Mach. Learn. Res., 2016)

Inference in finite state space non parametric Hidden Markov Models and applications. - Elisabeth Gassiat; Alice Cleynen; Stéphane Robin (Stat. Comput., 2016)

Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models. - Yohann de Castro; Elisabeth Gassiat; Sylvain Le Corff (IEEE Trans. Inf. Theory, 2017)

Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space. - Elisabeth Gassiat; Sylvain Le Corff; Luc Lehéricy (J. Mach. Learn. Res., 2020)

Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA. - Hermanni Hälvä; Sylvain Le Corff; Luc Lehéricy; Jonathan So; Yongjie Zhu; Elisabeth Gassiat; Aapo Hyvärinen (NeurIPS, 2021)

Joint self-supervised blind denoising and noise estimation. - Jean Ollion; Charles Ollion; Elisabeth Gassiat; Luc Lehéricy; Sylvain Le Corff (CoRR, 2021)

Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach. - Kweku Abraham; Ismael Castillo; Elisabeth Gassiat (J. Mach. Learn. Res., 2022)

Fundamental Limits of Membership Inference Attacks on Machine Learning Models. - Eric Aubinais; Elisabeth Gassiat; Pablo Piantanida (CoRR, 2023)

Fundamental Limits for Learning Hidden Markov Model Parameters. - Kweku Abraham; Elisabeth Gassiat; Zacharie Naulet (IEEE Trans. Inf. Theory, 2023)

Additive smoothing error in backward variational inference for general state-space models. - Mathis Chagneux; Elisabeth Gassiat; Pierre Gloaguen; Sylvain Le Corff (J. Mach. Learn. Res., 2024)

Variational excess risk bound for general state space models. - Elisabeth Gassiat; Sylvain Le Corff (Trans. Mach. Learn. Res., 2024)

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study. - Eric Aubinais; Philippe Formont; Pablo Piantanida; Elisabeth Gassiat (CoRR, 2025)

Tree-based variational inference for Poisson log-normal models. - Alexandre Chaussard; Anna Bonnet; Elisabeth Gassiat; Sylvain Le Corff (Stat. Comput., 2025)