Vincent Stimper

6 papers · 2021–2023 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

NeurIPS (3) AISTATS (1) ICLR (1) ICML (1)

Top co-authors

Bernhard Schölkopf (5) José Miguel Hernández-Lobato (4) Laurence Midgley (1) Emile Mathieu (1) Gregor N. C. Simm (1) Julius von Kügelgen (1) Andrew Campbell (1) Javier Antoran (1) Krikamol Muandet (1) Jonas M. Kübler (1)

Research topics

Machine Learning (6) Optimization & Theory · Machine Learning (5) Deep Learning (4) Learning Types (4) Models (3) Mathematics & Optimization (2) Artificial Intelligence (1) Application Areas (1) Core AI (1) Core Methods (1) Mathematics (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

normalizing flow (3) boltzmann distribution (3) density estimation (2) molecular dynamics (2) importance sampling (2) domain adaptation (1) independent component analysis (1) hyperparameter optimization (1) markov chain monte carlo (1) hypothesis testing (1) probability distribution (1) two-sample test (1) kullback-leibler divergence (1) distribution shift (1) hamiltonian monte carlo (1) multimodal distribution (1) target distribution (1) convergence speed (1) sampling method (1) rejection sampling (1)

Papers

Flow Annealed Importance Sampling Bootstrap ICLR 2023 SE(3) Equivariant Augmented Coupling Flows NeurIPS 2023 AutoML Two-Sample Test NeurIPS 2022 Resampling Base Distributions of Normalizing Flows AISTATS 2022 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 Independent mechanism analysis, a new concept? NeurIPS 2021