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09/07/2023
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains
Triplet Markov chains are general generative models for sequential data ...
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08/17/2022
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint
Hidden Markov Chains (HMC) and Recurrent Neural Networks (RNN) are two w...
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04/04/2022
Variance estimation for Sequential Monte Carlo Algorithms: a backward sampling approach
In this paper, we consider the problem of online asymptotic variance est...
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01/21/2020
Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics
Machine Learning has proven useful in the recent years as a way to achie...
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10/15/2017
