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Publication search results
found 123 matches
- 2024
- Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen:
Language Models as Science Tutors. CoRR abs/2402.11111 (2024) - 2023
- Maxime Chevalier-Boisvert:
Are We Heading towards a Dynamic Language Winter? (Invited Talk). DLS 2023: 2 - Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
AutoXAI: Un cadre pour sélectionner automatiquement la solution d'XAI la plus adaptée. EGC 2023: 491-498 - Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Ahmad El Allaoui, Anass El Haddadi, Olivier Teste:
Alignement incrémental de données dans des environnements dynamiques. INFORSID 2023: 177-182 - Ignasi Ventura Nadal, Samuel Chevalier:
Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets. ISGT EUROPE 2023: 1-6 - Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Ahmad El Allaoui, Anass El Haddadi, Olivier Teste:
Node2Vec Stability: Preliminary Study to Ensure the Compatibility of Embeddings with Incremental Data Alignment. MEDI Workshops 2023: 79-88 - Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo Perez-Vicente, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan Terry:
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. NeurIPS 2023 - Maxime Chevalier-Boisvert, Takashi Kokubun, Noah Gibbs, Si Xing (Alan) Wu, Aaron Patterson, Jemma Issroff:
Evaluating YJIT's Performance in a Production Context: A Pragmatic Approach. MPLR 2023: 20-33 - Ignasi Ventura Nadal, Samuel Chevalier:
Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets. CoRR abs/2304.10912 (2023) - Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan Terry:
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. CoRR abs/2306.13831 (2023) - 2022
- Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. CIKM 2022: 315-324 - Adam Hammoumi, Maxime Moreaud, Elsa Jolimaitre, Thibaud Chevalier, Michaela Klotz, Alexey Novikov:
Accelerating a Morphology-Preserving Adsorption Model by Deep Learning. ICIP 2022: 1851-1855 - Michele Lazzara, Max Chevalier, Jasone Garay-Garcia, Corentin Lapeyre, Olivier Teste:
Improving Surrogate Model Prediction by Noise Injection into Autoencoder Latent Space. ICTAI 2022: 533-538 - Elliot Maître, Max Chevalier, Bernard Dousset, Jean-Philippe Gitto, Olivier Teste:
Combinations of Content Representation Models for Event Detection on Social Media. RCIS 2022: 670-677 - Bastien Vidé, Max Chevalier, Franck Ravat:
Query Management for a Decentralised Enterprise Knowledge Graph. SITIS 2022: 17-24 - Abdoulaye Diop, Nabil El Malki, Max Chevalier, André Péninou, Olivier Teste:
Impact of similarity measures on clustering mixed data. SSDBM 2022: 9:1-9:12 - Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions. CoRR abs/2210.02795 (2022) - 2021
- Clément Chevalier, Olivia Martius, David Ginsbourger:
Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling. J. Comput. Graph. Stat. 30(3): 745-755 (2021) - Adam Hammoumi, Maxime Moreaud, Elsa Jolimaitre, Thibaud Chevalier, Alexey Novikov, Michaela Klotz:
Graph-Based M-tortuosity Estimation. DGMM 2021: 416-428 - Bastien Vidé, Joan Marty, Franck Ravat, Max Chevalier:
Designing a Business View of Enterprise Data: An approach based on a Decentralised Enterprise Knowledge Graph. IDEAS 2021: 184-193 - Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning. IJCNN 2021: 1-9 - Elliot Maître, Zakaria Chemli, Max Chevalier, Bernard Dousset, Jean-Philippe Gitto, Olivier Teste:
Étude de l'influence des représentations textuelles sur la détection d'évènements non supervisée dans des flux de données. INFORSID 2021: 23-38 - Maxime Chevalier-Boisvert, Noah Gibbs, Jean Boussier, Si Xing (Alan) Wu, Aaron Patterson, Kevin Newton, John Hawthorn:
YJIT: a basic block versioning JIT compiler for CRuby. VMIL@SPLASH 2021: 25-32 - 2020
- Iván Cantador, Max Chevalier, Massimo Melucci, Josiane Mothe:
CIRCLE 2020: the first joint conference of the information retrieval communities in Europe. SIGIR Forum 54(2): 9:1-9:9 (2020) - Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup:
Options of Interest: Temporal Abstraction with Interest Functions. AAAI 2020: 4444-4451 - Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning (Student Abstract). AAAI 2020: 13999-14000 - Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup:
Option-Critic in Cooperative Multi-agent Systems. AAMAS 2020: 1792-1794 - Elliot Maître, Zakaria Chemli, Max Chevalier, Bernard Dousset, Jean-Philippe Gitto, Olivier Teste:
Event Detection and Time Series Alignment to Improve Stock Market Forecasting. CIRCLE 2020 - Bastien Vidé, Max Chevalier, Franck Ravat:
Enterprise Knowledge Graph : définition et contribution à un système ?Team of Teams? EDA 2020: 61-68 - Iván Cantador, Max Chevalier, Massimo Melucci, Josiane Mothe:
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Samatan, Gers, France, July 6-9, 2020. CEUR Workshop Proceedings 2621, CEUR-WS.org 2020 [contents]
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