Antoine Wehenkel

6 papers · 2019–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

NeurIPS (3) AISTATS (2) ICML (1)

Top co-authors

Gilles Louppe (5) Arnaud Delaunoy (2) Marco Cuturi (1) François Rozet (1) Maciej Falkiewicz (1) Naoya Takeishi (1) Imahn Shekhzadeh (1) Guillermo Sapiro (1) Jens Behrmann (1) Alexandros Kalousis (1)

Research topics

Machine Learning (5) Artificial Intelligence (4) Optimization & Theory (4) Bayesian & Probabilistic (3) Deep Learning (1) Mathematics & Optimization (1) Application Areas (1) Architectures (1) Core Methods (1) Learning Paradigms (1) Models (1) Optimization (1)

Keywords

simulation-based inference (4) bayesian inference (2) density estimation (2) uncertainty quantification (2) bayesian network (1) probabilistic graphical model (1) inverse problem (1) empirical baye (1) normalizing flow (1) source distribution (1) coverage probability (1) autoregressive flow (1) monotonic neural network (1) invertible transformation (1) credible interval (1) neural density estimation (1) posterior calibration (1) calibration set (1) bijective neural network (1) neural ratio estimation (1)

Papers

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration ICML 2025 Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability NeurIPS 2023 Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation NeurIPS 2022 Graphical Normalizing Flows AISTATS 2021 Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference AISTATS 2021 Unconstrained Monotonic Neural Networks NeurIPS 2019