Multidimensional Contrast Limited Adaptive Histogram Equalization. - Vincent Stimper; Stefan Bauer; Ralph Ernstorfer; Bernhard Schölkopf; Rui Patrick Xian (IEEE Access, 2019)

A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. - Andrew Campbell; Wenlong Chen; Vincent Stimper; José Miguel Hernández-Lobato; Yichuan Zhang (ICML, 2021)

Independent mechanism analysis, a new concept? - Luigi Gresele; Julius von Kügelgen; Vincent Stimper; Bernhard Schölkopf; Michel Besserve (NeurIPS, 2021)

Bootstrap Your Flow. - Laurence Illing Midgley; Vincent Stimper; Gregor N. C. Simm; José Miguel Hernández-Lobato (CoRR, 2021)

Resampling Base Distributions of Normalizing Flows. - Vincent Stimper; Bernhard Schölkopf; José Miguel Hernández-Lobato (AISTATS, 2022)

AutoML Two-Sample Test. - Jonas M. Kübler; Vincent Stimper; Simon Buchholz; Krikamol Muandet; Bernhard Schölkopf (NeurIPS, 2022)

Probing the Robustness of Independent Mechanism Analysis for Representation Learning. - Joanna Sliwa 002; Shubhangi Ghosh; Vincent Stimper; Luigi Gresele; Bernhard Schölkopf (CoRR, 2022)

Flow Annealed Importance Sampling Bootstrap. - Laurence Illing Midgley; Vincent Stimper; Gregor N. C. Simm; Bernhard Schölkopf; José Miguel Hernández-Lobato (ICLR, 2023)

SE(3) Equivariant Augmented Coupling Flows. - Laurence I. Midgley; Vincent Stimper; Javier Antorán; Emile Mathieu; Bernhard Schölkopf; José Miguel Hernández-Lobato (NeurIPS, 2023)

A machine learning route between band mapping and band structure. - R. Patrick Xian; Vincent Stimper; Marios Zacharias; Maciej Dendzik; Shuo Dong; Samuel Beaulieu; Bernhard Schölkopf; Martin Wolf; Laurenz Rettig; Christian Carbogno; Stefan Bauer; Ralph Ernstorfer (Nat. Comput. Sci., 2023)

normflows: A PyTorch Package for Normalizing Flows. - Vincent Stimper; David Liu 005; Andrew Campbell; Vincent Berenz; Lukas Ryll; Bernhard Schölkopf; José Miguel Hernández-Lobato (Zenodo, 2023)

normflows: A PyTorch Package for Normalizing Flows. - Vincent Stimper; David Liu 005; Andrew Campbell; Vincent Berenz; Lukas Ryll; Bernhard Schölkopf; José Miguel Hernández-Lobato (Zenodo, 2023)

normflows: A PyTorch Package for Normalizing Flows. - Vincent Stimper; David Liu 005; Andrew Campbell; Vincent Berenz; Lukas Ryll; Bernhard Schölkopf; José Miguel Hernández-Lobato (Zenodo, 2023)

normflows: A PyTorch Package for Normalizing Flows. - Vincent Stimper; David Liu 005; Andrew Campbell; Vincent Berenz; Lukas Ryll; Bernhard Schölkopf; José Miguel Hernández-Lobato (J. Open Source Softw., 2023)

normflows: A PyTorch Package for Normalizing Flows. - Vincent Stimper; David Liu 005; Andrew Campbell; Vincent Berenz; Lukas Ryll; Bernhard Schölkopf; José Miguel Hernández-Lobato (Zenodo, 2023)

Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics. - Annalena Kofler; Vincent Stimper; Mikhail Mikhasenko; Michael Kagan; Lukas Heinrich (CoRR, 2024)