Elisabeth Gassiat
According to our database1,
Elisabeth Gassiat
authored at least 26 papers
between 1992 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Additive smoothing error in backward variational inference for general state-space models.
J. Mach. Learn. Res., 2024
2023
IEEE Trans. Inf. Theory, March, 2023
CoRR, 2023
2022
J. Mach. Learn. Res., 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space.
J. Mach. Learn. Res., 2020
2017
Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models.
IEEE Trans. Inf. Theory, 2017
2016
Inference in finite state space non parametric Hidden Markov Models and applications.
Stat. Comput., 2016
J. Mach. Learn. Res., 2016
CoRR, 2016
2015
IEEE Trans. Inf. Theory, 2015
2014
2013
2009
Adv. Data Anal. Classif., 2009
2006
2005
J. Comput. Biol., 2005
2003
IEEE Trans. Inf. Theory, 2003
1999
IEEE Trans. Inf. Theory, 1999
1998
IEEE Trans. Inf. Theory, 1998
1997
IEEE Trans. Signal Process., 1997
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1994
The maximum entropy method on the mean: Applications to linear programming and superresolution.
Math. Program., 1994
1992
On simultaneous signal estimation and parameter identification using a generalized likelihood approach.
IEEE Trans. Inf. Theory, 1992