Robust non-linear regression approach for generalized inverse problems in a high dimensional setting

Florence Forbes 1 Antoine Deleforge 2 Radu Horaud 3 Emeline Perthame 4
1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
2 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
3 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
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Conference papers
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https://hal.archives-ouvertes.fr/hal-02415115
Contributor : Florence Forbes <>
Submitted on : Monday, December 16, 2019 - 10:14:41 PM
Last modification on : Thursday, January 16, 2020 - 11:44:00 AM

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  • HAL Id : hal-02415115, version 1

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Florence Forbes, Antoine Deleforge, Radu Horaud, Emeline Perthame. Robust non-linear regression approach for generalized inverse problems in a high dimensional setting. AIP 2019 - Applied Inverse Problem conference, Jul 2019, Grenoble, France. ⟨hal-02415115⟩

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