Vincent Stimper

19 papers A* 5A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Flow annealed importance sampling bootstrap meets differentiable particle physics. Mach. Learn. Sci. Technol. Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, Lukas Heinrich
2024	J	`jnl`	Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics. CoRR Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, Lukas Heinrich
2023	J	`jnl`	A machine learning route between band mapping and band structure. Nat. Comput. Sci. 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
2023	A*	`conf`	Flow Annealed Importance Sampling Bootstrap. ICLR Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato
2023	A*	`conf`	SE(3) Equivariant Augmented Coupling Flows. NeurIPS Laurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato
2023	J	`jnl`	SE(3) Equivariant Augmented Coupling Flows. CoRR Laurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato
2023	J	`jnl`	normflows: A PyTorch Package for Normalizing Flows. CoRR Vincent Stimper, David Liu, Andrew Campbell, Vincent Berenz, Lukas Ryll, Bernhard Schölkopf, José Miguel Hernández-Lobato
2023	J	`jnl`	normflows: A PyTorch Package for Normalizing Flows. J. Open Source Softw. Vincent Stimper, David Liu, Andrew Campbell, Vincent Berenz, Lukas Ryll, Bernhard Schölkopf, José Miguel Hernández-Lobato
2022	A*	`conf`	AutoML Two-Sample Test. NeurIPS Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf
2022	J	`jnl`	AutoML Two-Sample Test. CoRR Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf
2022	J	`jnl`	Flow Annealed Importance Sampling Bootstrap. CoRR Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato
2022	J	`jnl`	Probing the Robustness of Independent Mechanism Analysis for Representation Learning. CoRR Joanna Sliwa, Shubhangi Ghosh, Vincent Stimper, Luigi Gresele, Bernhard Schölkopf
2022	A	`conf`	Resampling Base Distributions of Normalizing Flows. AISTATS Vincent Stimper, Bernhard Schölkopf, José Miguel Hernández-Lobato
2021	A*	`conf`	A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. ICML Andrew Campbell, Wenlong Chen, Vincent Stimper, José Miguel Hernández-Lobato, Yichuan Zhang
2021	J	`jnl`	Bootstrap Your Flow. CoRR Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, José Miguel Hernández-Lobato
2021	A*	`conf`	Independent mechanism analysis, a new concept? NeurIPS Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
2021	J	`jnl`	Independent mechanism analysis, a new concept? CoRR Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
2021	J	`jnl`	Resampling Base Distributions of Normalizing Flows. CoRR Vincent Stimper, Bernhard Schölkopf, José Miguel Hernández-Lobato
2019	J	`jnl`	Multidimensional Contrast Limited Adaptive Histogram Equalization. IEEE Access Vincent Stimper, Stefan Bauer, Ralph Ernstorfer, Bernhard Schölkopf, Rui Patrick Xian