Elisabeth Gassiat

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 13

Top Topics

Machine Learning Models

Viterbi Algorithm

Top Venues

IEEE Trans. Inf. Theory

J. Mach. Learn. Res.

Publications

Elisabeth Gassiat, Sylvain Le Corff
Variational excess risk bound for general state space models. Trans. Mach. Learn. Res. 2024 (2024)
Kweku Abraham, Elisabeth Gassiat, Zacharie Naulet
Fundamental Limits for Learning Hidden Markov Model Parameters. IEEE Trans. Inf. Theory 69 (3) (2023)
Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida
Fundamental Limits of Membership Inference Attacks on Machine Learning Models. CoRR (2023)
Kweku Abraham, Ismael Castillo, Elisabeth Gassiat
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach. J. Mach. Learn. Res. 23 (2022)
Kweku Abraham, Zacharie Naulet, Elisabeth Gassiat
Fundamental limits for learning hidden Markov model parameters. CoRR (2021)
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 (2021)
Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff
Joint self-supervised blind denoising and noise estimation. CoRR (2021)
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)
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 (2020)
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) (2017)
Elisabeth Gassiat, Alice Cleynen, Stéphane Robin
Inference in finite state space non parametric Hidden Markov Models and applications. Stat. Comput. 26 (1-2) (2016)
Yohann de Castro, Elisabeth Gassiat, Claire Lacour
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models. J. Mach. Learn. Res. 17 (2016)
Anna Ben-Hamou, Stéphane Boucheron, Elisabeth Gassiat
Pattern Coding Meets Censoring: (almost) Adaptive Coding on Countable Alphabets. CoRR (2016)
Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes. IEEE Trans. Inf. Theory 61 (9) (2015)
Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes. CoRR (2014)
Dominique Bontemps, Stéphane Boucheron, Elisabeth Gassiat
About Adaptive Coding on Countable Alphabets. IEEE Trans. Inf. Theory 60 (2) (2014)
Elisabeth Gassiat, Ramon van Handel
Consistent Order Estimation and Minimal Penalties. IEEE Trans. Inf. Theory 59 (2) (2013)
Wilson Toussile, Elisabeth Gassiat
Variable selection in model-based clustering using multilocus genotype data. Adv. Data Anal. Classif. 3 (2) (2009)
Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat
Coding on Countably Infinite Alphabets. IEEE Trans. Inf. Theory 55 (1) (2009)
Stéphane Boucheron, Elisabeth Gassiat
Error exponents for AR order testing. IEEE Trans. Inf. Theory 52 (2) (2006)
Elodie Nédélec, Thomas Moncion, Elisabeth Gassiat, Bruno Bossard, Guillemette Duchateau-Nguyen, Alain Denise, Michel Termier
A Pairwise Alignment Algorithm Which Favors Clusters of Blocks. J. Comput. Biol. 12 (1) (2005)
Elisabeth Gassiat, Stéphane Boucheron
Optimal error exponents in hidden Markov models order estimation. IEEE Trans. Inf. Theory 49 (4) (2003)
Imre Csiszár, Fabrice Gamboa, Elisabeth Gassiat
MEM pixel correlated solutions for generalized moment and interpolation problems. IEEE Trans. Inf. Theory 45 (7) (1999)
Elisabeth Gassiat, Emmanuelle Gautherat
Identification of Noisy Linear Systems with Discrete Random Input. IEEE Trans. Inf. Theory 44 (5) (1998)
Fabrice Gamboa, Elisabeth Gassiat
Source separation when the input sources are discrete or have constant modulus. IEEE Trans. Signal Process. 45 (12) (1997)
Eric Moulines, Jean-François Cardoso, Elisabeth Gassiat
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. ICASSP (1997)
Fabrice Gamboa, Elisabeth Gassiat
The maximum entropy method on the mean: Applications to linear programming and superresolution. Math. Program. 66 (1994)
Elisabeth Gassiat, Fabrice Monfront, Yves Goussard
On simultaneous signal estimation and parameter identification using a generalized likelihood approach. IEEE Trans. Inf. Theory 38 (1) (1992)