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Elisabeth Gassiat
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2020 – today
- 2024
- [j20]Elisabeth Gassiat, Sylvain Le Corff:
Variational excess risk bound for general state space models. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j19]Kweku Abraham, Elisabeth Gassiat, Zacharie Naulet
:
Fundamental Limits for Learning Hidden Markov Model Parameters. IEEE Trans. Inf. Theory 69(3): 1777-1794 (2023) - [i6]Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida:
Fundamental Limits of Membership Inference Attacks on Machine Learning Models. CoRR abs/2310.13786 (2023) - 2022
- [j18]Kweku Abraham, Ismael Castillo, Elisabeth Gassiat:
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach. J. Mach. Learn. Res. 23: 94:1-94:57 (2022) - 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) - [i3]Kweku Abraham, Zacharie Naulet, Elisabeth Gassiat:
Fundamental limits for learning hidden Markov model parameters. CoRR abs/2106.12936 (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)
2010 – 2019
- 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) - 2016
- [j15]Yohann de Castro, Elisabeth Gassiat, Claire Lacour:
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models. J. Mach. Learn. Res. 17: 111:1-111:43 (2016) - [j14]Elisabeth Gassiat, Alice Cleynen, Stéphane Robin:
Inference in finite state space non parametric Hidden Markov Models and applications. Stat. Comput. 26(1-2): 61-71 (2016) - [i2]Anna Ben-Hamou
, Stéphane Boucheron, Elisabeth Gassiat:
Pattern Coding Meets Censoring: (almost) Adaptive Coding on Countable Alphabets. CoRR abs/1608.08367 (2016) - 2015
- [j13]Stéphane Boucheron
, Elisabeth Gassiat, Mesrob I. Ohannessian:
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes. IEEE Trans. Inf. Theory 61(9): 4948-4967 (2015) - 2014
- [j12]Dominique Bontemps, Stéphane Boucheron
, Elisabeth Gassiat:
About Adaptive Coding on Countable Alphabets. IEEE Trans. Inf. Theory 60(2): 808-821 (2014) - [i1]Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian:
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes. CoRR abs/1402.6305 (2014) - 2013
- [j11]Elisabeth Gassiat, Ramon van Handel:
Consistent Order Estimation and Minimal Penalties. IEEE Trans. Inf. Theory 59(2): 1115-1128 (2013)
2000 – 2009
- 2009
- [j10]Wilson Toussile, Elisabeth Gassiat:
Variable selection in model-based clustering using multilocus genotype data. Adv. Data Anal. Classif. 3(2): 109-134 (2009) - [j9]Stéphane Boucheron
, Aurélien Garivier, Elisabeth Gassiat:
Coding on Countably Infinite Alphabets. IEEE Trans. Inf. Theory 55(1): 358-373 (2009) - 2006
- [j8]Stéphane Boucheron
, Elisabeth Gassiat:
Error exponents for AR order testing. IEEE Trans. Inf. Theory 52(2): 472-488 (2006) - 2005
- [j7]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): 33-47 (2005) - 2003
- [j6]Elisabeth Gassiat, Stéphane Boucheron
:
Optimal error exponents in hidden Markov models order estimation. IEEE Trans. Inf. Theory 49(4): 964-980 (2003)
1990 – 1999
- 1999
- [j5]Imre Csiszár, Fabrice Gamboa, Elisabeth Gassiat:
MEM pixel correlated solutions for generalized moment and interpolation problems. IEEE Trans. Inf. Theory 45(7): 2253-2270 (1999) - 1998
- [j4]Elisabeth Gassiat, Emmanuelle Gautherat:
Identification of Noisy Linear Systems with Discrete Random Input. IEEE Trans. Inf. Theory 44(5): 1941-1952 (1998) - 1997
- [j3]Fabrice Gamboa, Elisabeth Gassiat:
Source separation when the input sources are discrete or have constant modulus. IEEE Trans. Signal Process. 45(12): 3062-3072 (1997) - [c1]Eric Moulines, Jean-François Cardoso, Elisabeth Gassiat:
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. ICASSP 1997: 3617-3620 - 1994
- [j2]Fabrice Gamboa, Elisabeth Gassiat:
The maximum entropy method on the mean: Applications to linear programming and superresolution. Math. Program. 66: 103-122 (1994) - 1992
- [j1]Elisabeth Gassiat, Fabrice Monfront, Yves Goussard:
On simultaneous signal estimation and parameter identification using a generalized likelihood approach. IEEE Trans. Inf. Theory 38(1): 157-162 (1992)
Coauthor Index
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last updated on 2024-08-10 01:28 CEST by the dblp team
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