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bib:viper_report [2022/06/11 14:17] marchand |
bib:viper_report [2023/04/07 17:57] (current) marchand |
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+ | @techreport{blonde:arxiv2022, | ||
+ | title={Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning}, | ||
+ | author={Lionel Blondé and Alexandros Kalousis and Stéphane Marchand-Maillet}, | ||
+ | year={2022}, | ||
+ | eprint={2107.01407}, | ||
+ | volume ={abs/2107.01407}, | ||
+ | journal = { CoRR }, | ||
+ | archivePrefix={arXiv}, | ||
+ | url = { https://arxiv.org/abs/2107.01407 }, | ||
+ | primaryClass={cs.LG} | ||
+ | | ||
+ | } | ||
+ | |||
+ | @techreport{graziani:arxiv2022, | ||
+ | title={Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs Improves Generalization}, | ||
+ | author={Mara Graziani and Sebastian Otalora and Stephane Marchand-Maillet and Henning Muller and Vincent Andrearczyk}, | ||
+ | year={2022}, | ||
+ | eprint={2008.01478}, | ||
+ | volume={abs/2008.01478}, | ||
+ | journal = { CoRR }, | ||
+ | url = { https://arxiv.org/abs/2008.01478 }, | ||
+ | archivePrefix={arXiv}, | ||
+ | primaryClass={cs.CV} | ||
+ | } | ||
+ | |||
+ | |||
@techreport{brangbour:arxiv2022, | @techreport{brangbour:arxiv2022, | ||
author = {Etienne Brangbour and | author = {Etienne Brangbour and |