Pierrick Pochelu

16 papers C 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SerializableSimpy: Parallel and Serializable Discrete-Event Simulation in Python. J. Open Source Softw. Pierrick Pochelu
2026	J	`jnl`	What Artificial Intelligence can do for High-Performance Computing systems? CoRR Pierrick Pochelu, Hyacinthe Cartiaux, Julien Schleich
2026	J	`jnl`	What artificial intelligence can do for high-performance computing systems? Eng. Appl. Artif. Intell. Pierrick Pochelu, Hyacinthe Cartiaux, Julien Schleich
2024	—	`conf`	JaxDecompiler: Redefining Gradient-Informed Software Design. OLA Pierrick Pochelu
2024	J	`jnl`	JaxDecompiler: Redefining Gradient-Informed Software Design. CoRR Pierrick Pochelu
2024	—	`conf`	Mastering Computer Vision Inference Frameworks. ICPE (Companion) Pierrick Pochelu, Oscar Castro-López
2022	C	`conf`	A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. HPC Asia Pierrick Pochelu, Serge G. Petiton, Bruno Conche
2022	J	`jnl`	A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. CoRR Pierrick Pochelu, Serge G. Petiton, Bruno Conche
2022	J	`jnl`	An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. CoRR Pierrick Pochelu, Serge G. Petiton, Bruno Conche
2022	J	`jnl`	Deep Learning Inference Frameworks Benchmark. CoRR Pierrick Pochelu
2022	—	`conf`	Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. COINS Pierrick Pochelu, Bruno Conche, Serge G. Petiton
2022	J	`jnl`	Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. CoRR Pierrick Pochelu, Serge G. Petiton, Bruno Conche
2022	—	`—`	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). Pierrick Pochelu
2022	—	`conf`	Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. IVSP Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche
2022	J	`jnl`	Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. CoRR Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche
2021	—	`conf`	An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. IEEE BigData Pierrick Pochelu, Serge G. Petiton, Bruno Conche