Bruno Conche

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 17

Top Topics

Reinforcement Learning Agents

Weakly Supervised

Neural Network Ensemble

Top Venues

Publications

Pierrick Pochelu, Serge G. Petiton, Bruno Conche
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. CoRR (2022)
Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. IVSP (2022)
Pierrick Pochelu, Serge G. Petiton, Bruno Conche
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. CoRR (2022)
Pierrick Pochelu, Serge G. Petiton, Bruno Conche
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. HPC Asia (2022)
Pierrick Pochelu, Serge G. Petiton, Bruno Conche
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. CoRR (2022)
Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. CoRR (2022)
Pierrick Pochelu, Bruno Conche, Serge G. Petiton
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. COINS (2022)
Pierrick Pochelu, Serge G. Petiton, Bruno Conche
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. IEEE BigData (2021)
Emna Amri, Alexandre Benoît, Philippe Bolon, Véronique Miegebielle, Bruno Conche, Georges Oppenheim
Offshore Oil Slicks Detection From SAR Images Through The Mask-RCNN Deep Learning Model. IJCNN (2020)
Maxime Soler, Martin Petitfrere, Gilles Darche, Mélanie Plainchault, Bruno Conche, Julien Tierny
Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-Aware Matchings. LDAV (2019)
Véronique Miegebielle, Bruno Conche, Zhexuan Huang, Peigen Xie, Clément Killisly
Use of Remote Sensing Radar Images for Offshore Oil Slick Detection in Oil and Gas Domain: Manual and Automatic Interpretation. IGARSS (2019)
Maxime Soler, Martin Petitfrere, Gilles Darche, Mélanie Plainchault, Bruno Conche, Julien Tierny
Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-aware Matchings. CoRR (2019)
Maxime Soler, Mélanie Plainchault, Bruno Conche, Julien Tierny
Lifted Wasserstein Matcher for Fast and Robust Topology Tracking. CoRR (2018)
Maxime Soler, Mélanie Plainchault, Bruno Conche, Julien Tierny
Lifted Wasserstein Matcher for Fast and Robust Topology Tracking. LDAV (2018)
Maxime Soler, Mélanie Plainchault, Bruno Conche, Julien Tierny
Topologically Controlled Lossy Compression. CoRR (2018)
Maxime Soler, Mélanie Plainchault, Bruno Conche, Julien Tierny
Topologically Controlled Lossy Compression. PacificVis (2018)
François Meunier, Christophe Marsala, Laurent Castanie, Bruno Conche
Classification d'objets 3D par extraction aléatoire de sous-parties discriminantes pour l'étude du sous-sol en prospection pétrolière. EGC (2017)