• 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 28 matches

• 2024
• 
  Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen:
  Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. CoRR abs/2405.08719 (2024)
• 2023
• 
  Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst:
  Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing 534: 199-219 (2023)
• 
  Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen:
  Robust Hybrid Learning With Expert Augmentation. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis:
  Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. NeurIPS 2023
• 
  Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen:
  Simulation-based Inference for Cardiovascular Models. CoRR abs/2307.13918 (2023)
• 
  Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis:
  Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. CoRR abs/2310.13402 (2023)
• 2022
• 
  Antoine Wehenkel:
  Inductive Bias In Deep Probabilistic Modelling. University of Liège, Belgium, 2022
• 
  Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Volodimir Begy, Gilles Louppe:
  A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful. Trans. Mach. Learn. Res. 2022 (2022)
• 
  Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe:
  Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. NeurIPS 2022
• 
  Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen:
  Robust Hybrid Learning With Expert Augmentation. CoRR abs/2202.03881 (2022)
• 
  Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe:
  Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. CoRR abs/2208.13624 (2022)
• 2021
• 
  Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe:
  Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. AISTATS 2021: 2107-2115
• 
  Antoine Wehenkel, Gilles Louppe:
  Graphical Normalizing Flows. AISTATS 2021: 37-45
• 
  Jonathan Dumas, Colin Cointe, Antoine Wehenkel, Antonio Sutera, Xavier Fettweis, Bertrand Cornélusse:
  A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market. CoRR abs/2105.13801 (2021)
• 
  Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst:
  Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks. CoRR abs/2106.03228 (2021)
• 
  Jonathan Dumas, Antoine Wehenkel, Damien Lanaspeze, Bertrand Cornélusse, Antonio Sutera:
  Deep generative modeling for probabilistic forecasting in power systems. CoRR abs/2106.09370 (2021)
• 
  Antoine Wehenkel, Gilles Louppe:
  Diffusion Priors In Variational Autoencoders. CoRR abs/2106.15671 (2021)
• 
  Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Gilles Louppe:
  Averting A Crisis In Simulation-Based Inference. CoRR abs/2110.06581 (2021)
• 2020
• 
  Antoine Wehenkel, Arpan Mukhopadhyay, Jean-Yves Le Boudec, Mario Paolone:
  Parameter Estimation of Three-Phase Untransposed Short Transmission Lines From Synchrophasor Measurements. IEEE Trans. Instrum. Meas. 69(9): 6143-6154 (2020)
• 
  Antoine Wehenkel, Gilles Louppe:
  You say Normalizing Flows I see Bayesian Networks. CoRR abs/2006.00866 (2020)
• 
  Antoine Wehenkel, Gilles Louppe:
  Graphical Normalizing Flows. CoRR abs/2006.02548 (2020)
• 
  Arnaud Delaunoy, Antoine Wehenkel, Tanja Hinderer, Samaya Nissanke, Christoph Weniger, Andrew R. Williamson, Gilles Louppe:
  Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization. CoRR abs/2010.12931 (2020)
• 
  Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe:
  Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. CoRR abs/2011.05836 (2020)
• 2019
• 
  Antoine Wehenkel, Gilles Louppe:
  Unconstrained Monotonic Neural Networks. BNAIC/BENELEARN 2019
• 
  Antoine Wehenkel, Gilles Louppe:
  Unconstrained Monotonic Neural Networks. NeurIPS 2019: 1543-1553
• 
  Antoine Wehenkel, Gilles Louppe:
  Unconstrained Monotonic Neural Networks. CoRR abs/1908.05164 (2019)
• 2018
• 
  Arthur Pesah, Antoine Wehenkel, Gilles Louppe:
  Recurrent machines for likelihood-free inference. CoRR abs/1811.12932 (2018)
• 2017
• 
  Antoine Dubois, Antoine Wehenkel, Raphael Fonteneau, Frédéric Olivier, Damien Ernst:
  An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles. ICAART (1) 2017: 322-327