Search Results for author: Antoine Honoré

Found 6 papers, 2 papers with code

Compressed Sensing of Generative Sparse-latent (GSL) Signals

no code implementations16 Oct 2023 Antoine Honoré, Anubhab Ghosh, Saikat Chatterjee

We consider reconstruction of an ambient signal in a compressed sensing (CS) setup where the ambient signal has a neural network based generative model.

DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup

no code implementations4 Jun 2023 Anubhab Ghosh, Antoine Honoré, Saikat Chatterjee

DANSE provides a closed-form posterior of the state of the model-free process, given linear measurements of the state.

Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability

1 code implementation1 Jul 2021 Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee

For a standard speech phone classification setup involving 39 phones (classes) and the TIMIT dataset, we show that the use of standard features called mel-frequency-cepstral-coeffcients (MFCCs), the proposed generative models, and the decision fusion together can achieve $86. 6\%$ accuracy by generative training only.

Classification

Powering Hidden Markov Model by Neural Network based Generative Models

1 code implementation13 Oct 2019 Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen

In the proposed GenHMM, each HMM hidden state is associated with a neural network based generative model that has tractability of exact likelihood and provides efficient likelihood computation.

Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events

no code implementations17 Nov 2017 Antoine Honoré, Veronica Siljehav, Saikat Chatterjee, Eric Herlenius

Even with a limited and unbalanced training data, the large neural network provides a detection performance level that is feasible to use in clinical care.

BIG-bench Machine Learning Binary Classification +1

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