Michael Deistler

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Boltzmann Machine

Bayesian Inference

Top Venues

Publications

Mila Gorecki, Jakob H. Macke, Michael Deistler
Amortized Bayesian Decision Making for simulation-based models. Trans. Mach. Learn. Res. 2024 (2024)
Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations. CoRR (2024)
Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science. CoRR (2024)
Manuel Glöckler, Michael Deistler, Christian Weilbach, Frank Wood, Jakob H. Macke
All-in-one simulation-based inference. CoRR (2024)
Richard Gao, Michael Deistler, Jakob H. Macke
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. NeurIPS (2023)
Richard Gao, Michael Deistler, Jakob H. Macke
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. CoRR (2023)
Mila Gorecki, Jakob H. Macke, Michael Deistler
Amortized Bayesian Decision Making for simulation-based models. CoRR (2023)
Manuel Glöckler, Michael Deistler, Jakob H. Macke
Adversarial robustness of amortized Bayesian inference. CoRR (2023)
Manuel Glöckler, Michael Deistler, Jakob H. Macke
Adversarial robustness of amortized Bayesian inference. ICML (2023)
Manuel Glöckler, Michael Deistler, Jakob H. Macke
Variational methods for simulation-based inference. CoRR (2022)
Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H. Macke, Philipp Berens
Efficient identification of informative features in simulation-based inference. NeurIPS (2022)
Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H. Macke, Philipp Berens
Efficient identification of informative features in simulation-based inference. CoRR (2022)
Michael Deistler, Pedro J. Gonçalves, Jakob H. Macke
Truncated proposals for scalable and hassle-free simulation-based inference. CoRR (2022)
Michael Deistler, Pedro J. Gonçalves, Jakob H. Macke
Truncated proposals for scalable and hassle-free simulation-based inference. NeurIPS (2022)
Manuel Glöckler, Michael Deistler, Jakob H. Macke
Variational methods for simulation-based inference. ICLR (2022)
Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke
Group equivariant neural posterior estimation. ICLR (2022)
Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke
Group equivariant neural posterior estimation. CoRR (2021)
Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
sbi: A toolkit for simulation-based inference. J. Open Source Softw. 5 (52) (2020)
Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
SBI - A toolkit for simulation-based inference. CoRR (2020)
Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. CBS (2019)
Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. CoRR (2019)