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Pierrick Pochelu
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2020 – today
- 2024
- [c5]Pierrick Pochelu
, Oscar Castro-López
:
Mastering Computer Vision Inference Frameworks. ICPE (Companion) 2024: 28-33 - [i6]Pierrick Pochelu:
JaxDecompiler: Redefining Gradient-Informed Software Design. CoRR abs/2403.10571 (2024) - 2022
- [b1]Pierrick Pochelu:
Ensembles of Deep Neural Networks distributed and parallel for the energy industry. (Ensembles de réseaux de neurones répartis et parallèles appliqués au domaine de l'énergie). University of Lille, France, 2022 - [c4]Pierrick Pochelu
, Bruno Conche, Serge G. Petiton:
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. COINS 2022: 1-6 - [c3]Pierrick Pochelu
, Serge G. Petiton, Bruno Conche:
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. HPC Asia 2022: 61-71 - [c2]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: 14-24 - [i5]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. CoRR abs/2208.14046 (2022) - [i4]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. CoRR abs/2208.14049 (2022) - [i3]Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche:
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. CoRR abs/2208.14060 (2022) - [i2]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. CoRR abs/2208.14338 (2022) - [i1]Pierrick Pochelu:
Deep Learning Inference Frameworks Benchmark. CoRR abs/2210.04323 (2022) - 2021
- [c1]Pierrick Pochelu
, Serge G. Petiton, Bruno Conche:
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. IEEE BigData 2021: 5225-5232
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