• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 134 matches

• 2024
• 
  Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
  Towards Regional Explanations with Validity Domains for Local Explanations. DaWaK 2024: 147-161
• 
  Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Ahmad El Allaoui, Anass El Haddadi, Olivier Teste:
  IDAGEmb: An Incremental Data Alignment Based on Graph Embedding. DaWaK 2024: 19-33
• 
  Julien Breton, Mokhtar Boumedyen Billami, Max Chevalier, Cássia Trojahn:
  Empowering CamemBERT Legal Entity Extraction With LLM Boostrapping. EKAW 2024: 86-101
• 
  Yacine Mokhtari, Robin Cugny, Nabil El Malki, Julien Aligon, Max Chevalier, Olivier Teste:
  Vers un clustering interactif assisté par l'explicabilité. EGC 2024: 287-294
• 
  Julien Breton, Mokhtar Boumedyen Billami, Max Chevalier, Cássia Trojahn:
  Leveraging Semantic Model and LLM for Bootstrapping a Legal Entity Extraction: An Industrial Use Case. SEMANTICS 2024: 20-36
• 
  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 Xia, Jiatong Yu, Junjie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen:
  Language Models as Science Tutors. ICML 2024
• 
  Max Chevalier:
  Préface des actes INFORSID 2024. INFORSID 2024: I-XI
• 
  Abdoulaye Diop, Nabil El Malki, Max Chevalier, André Péninou, Geoffrey Roman-Jimenez, Olivier Teste:
  Similarity Measures Recommendation for Mixed Data Clustering. SSDBM 2024: 3:1-3:10
• 
  Max Chevalier, Khalid Benali:
  Actes du 42ème Congrès INFORSID, Nancy, France, May 28-31, 2024. 2024 [contents]
• 
  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
• 
  Michele Lazzara, Max Chevalier, Corentin Lapeyre, Olivier Teste:
  NeuralODE-Based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-Dimensional Dynamical Systems. ICANN (6) 2023: 497-508
• 
  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 K. 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
• 
  Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Sylvain Lan, Sylvain Takerkart, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera:
  nilearn. Zenodo, 2023 
• 
  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 K. 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

skipping 104 more matches