- 2024
- Nicolas Gast, Benny Van Houdt:
Approximations to Study the Impact of the Service Discipline in Systems with Redundancy. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 14:1-14:33 (2024) - Valentin Boulisset, Jean-Luc Attié, Ronan Tournier, Xavier Ceamanos, Javier Andrey, Eric Pequignot, Nicolas Lauret, Jean-Philippe Gastellu-Etchegorry:
Aerosol Optical Depth Measurements from a Simulated Low-Cost Multi-Wavelength Ground-Based Camera: A Clear Case over a Peri-Urban Area. Remote. Sens. 16(1): 140 (2024) - Zhijun Zhen, Shengbo Chen, Tiangang Yin, Cheng Han, Eric Chavanon, Nicolas Lauret, Jordan Guilleux, Jean-Philippe Gastellu-Etchegorry:
A Dynamic L-System-Based Architectural Maize Model for 3-D Radiative Transfer Simulation. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - Nicolas Gast, Benny Van Houdt:
Approximations to Study the Impact of the Service Discipline in Systems with Redundancy. CoRR abs/2401.07713 (2024) - Theresa Stadler, Bogdan Kulynych, Nicolas Papernot, Michael Gastpar, Carmela Troncoso:
The Fundamental Limits of Least-Privilege Learning. CoRR abs/2402.12235 (2024) - 2023
- Omar Regaieg, Nicolas Lauret, Yingjie Wang, Jordan Guilleux, Eric Chavanon, Jean-Philippe Gastellu-Etchegorry:
Bi-directional Monte-Carlo modelling of solar-induced chlorophyll fluorescence images for 3D vegetation canopies in the DART model. Int. J. Appl. Earth Obs. Geoinformation 118: 103254 (2023) - Maud Parrot, Hamza Tajmouati, Vinicius Barros Ribeiro da Silva, Brian Ross Atwood, Robin Fourcade, Yann Gaston-Mathé, Nicolas Do Huu, Quentin Perron:
Integrating synthetic accessibility with AI-based generative drug design. J. Cheminformatics 15(1): 83 (2023) - Philippe Gendreau, Joseph-André Turk, Nicolas Drizard, Vinicius Barros Ribeiro da Silva, Clarisse Descamps, Yann Gaston-Mathé:
Molecular Assays Simulator to Unravel Predictors Hacking in Goal-Directed Molecular Generations. J. Chem. Inf. Model. 63(13): 3983-3998 (2023) - Nicolas Gast, Bruno Gaujal, Kimang Khun:
Testing indexability and computing Whittle and Gittins index in subcubic time. Math. Methods Oper. Res. 97(3): 391-436 (2023) - Sebastian Allmeier, Nicolas Gast:
Bias and Refinement of Multiscale Mean Field Models. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 23:1-23:29 (2023) - Nicolas Gast, Bruno Gaujal, Chen Yan:
Exponential asymptotic optimality of Whittle index policy. Queueing Syst. Theory Appl. 104(1-2): 107-150 (2023) - Nicolas Gast, Bruno Gaujal, Kimang Khun:
What is an Optimal Policy in Time-Average MDP? SIGMETRICS Perform. Evaluation Rev. 51(2): 30-32 (2023) - Florian de Boissieu, Florence Heuschmidt, Nicolas Lauret, Dav M. Ebengo, Grégoire Vincent, Jean-Baptiste Féret, Tiangang Yin, Jean-Philippe Gastellu-Etchegorry, Josiane Costeraste, Marie-José Lefèvre-Fonollosa, Sylvie Durrieu:
Validation of the DART Model for Airborne Laser Scanner Simulations on Complex Forest Environments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8379-8394 (2023) - Romain Cravic, Nicolas Gast, Bruno Gaujal:
Decentralized Model-Free Reinforcement Learning in Stochastic Games with Average-Reward Objective. AAMAS 2023: 1230-1238 - Zhijun Zhen, Najmeddine Benromdhane, Abdelaziz Kallel, Yingjie Wang, Omar Regaieg, Paul Boitard, Lucas Landier, Eric Chavanon, Nicolas Lauret, Jordan Guilleux, Tiangang Yin, Jonathan León-Tavares, Jean-Philippe Gastellu-Etchegorry:
DART: a 3D radiative transfer model for urban studies. JURSE 2023: 1-4 - Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet:
Trading-off price for data quality to achieve fair online allocation. NeurIPS 2023 - Sebastian Allmeier, Nicolas Gast:
Bias and Refinement of Multiscale Mean Field Models. SIGMETRICS (Abstracts) 2023: 29-30 - Romain Cravic, Nicolas Gast, Bruno Gaujal:
Decentralized model-free reinforcement learning in stochastic games with average-reward objective. CoRR abs/2301.05630 (2023) - Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, L. Catherine Brinson, Kamal Choudhary, Defne Circi, Sam Cox, Wibe A. de Jong, Matthew L. Evans, Nicolas Gastellu, Jerome Genzling, María Victoria Gil, Ankur K. Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W. Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Rankovic, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Heck, Christoph Völker, Logan T. Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian T. Foster, Andrew D. White, Ben Blaiszik:
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon. CoRR abs/2306.06283 (2023) - Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet:
Trading-off price for data quality to achieve fair online allocation. CoRR abs/2306.13440 (2023) - Joël L. Lavanchy, Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Paolo Fiorini, Beat P. Müller-Stich, Philipp C. Nett, Jacques Marescaux, Didier Mutter, Nicolas Padoy:
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery. CoRR abs/2312.11250 (2023) - 2022
- Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On fair selection in the presence of implicit and differential variance. Artif. Intell. 302: 103609 (2022) - Nahuel Escobedo, Ronaldo Romario Tunque Cahui, Gastón Caruso, Emilio Garcia-Rios, Layla Hirsh, Alexander Miguel Monzon, Gustavo D. Parisi, Nicolas Palopoli:
CoDNaS-Q: a database of conformational diversity of the native state of proteins with quaternary structure. Bioinform. 38(21): 4959-4961 (2022) - Nicolas Gastineau, Wahabou Abdou, Nader Mbarek, Olivier Togni:
Leader election and local identifiers for three-dimensional programmable matter. Concurr. Comput. Pract. Exp. 34(7) (2022) - Quentin Perron, Olivier Mirguet, Hamza Tajmouati, Adam Skiredj, Anne Rojas, Arnaud Gohier, Pierre Ducrot, Marie-Pierre Bourguignon, Patricia Sansilvestri-Morel, Nicolas Do Huu, Françoise Gellibert, Yann Gaston-Mathé:
Deep generative models for ligand-based de novo design applied to multi-parametric optimization. J. Comput. Chem. 43(10): 692-703 (2022) - Sebastian Allmeier, Nicolas Gast:
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! Proc. ACM Meas. Anal. Comput. Syst. 6(1): 13:1-13:43 (2022) - Nicolas Gast:
Why (and when) do asymptotic methods work so well? Queueing Syst. Theory Appl. 100(3-4): 297-299 (2022) - Sebastian Allmeier, Nicolas Gast:
rmf tool - A library to Compute (Refined) Mean Field Approximation(s). SIGMETRICS Perform. Evaluation Rev. 49(4): 35-40 (2022) - Nicolas Gast, Neil Walton:
Special Issue on the Workshop about Reinforcement Learning in Networks and Queues (RLNQ 2021). SIGMETRICS Perform. Evaluation Rev. 49(2): 42 (2022) - Nicolas Gast, Bruno Gaujal, Kimang Khun:
Learning Algorithms for Markovian Bandits:\\Is Posterior Sampling more Scalable than Optimism? Trans. Mach. Learn. Res. 2022 (2022)