Michael Deistler

According to our database, Michael Deistler authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.

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

CoRR, 2024

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations.

Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens

CoRR, 2024

2023

Amortized Bayesian Decision Making for simulation-based models.

Mila Gorecki, Jakob H. Macke, Michael Deistler

CoRR, 2023

Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation.

Richard Gao, Michael Deistler, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial robustness of amortized Bayesian inference.

Manuel Glöckler, Michael Deistler, Jakob H. Macke

Proceedings of the International Conference on Machine Learning, 2023

2022

Truncated proposals for scalable and hassle-free simulation-based inference.

Michael Deistler, Pedro J. Gonçalves, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient identification of informative features in simulation-based inference.

Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H. Macke, Philipp Berens

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Variational methods for simulation-based inference.

Manuel Glöckler, Michael Deistler, Jakob H. Macke

Proceedings of the Tenth International Conference on Learning Representations, 2022

Group equivariant neural posterior estimation.

Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

sbi: A toolkit for simulation-based inference.

Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke

J. Open Source Softw., 2020

2019

Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine.

Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019