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2020 – today
- 2024
[j2]Mila Gorecki, Jakob H. Macke, Michael Deistler:
Amortized Bayesian Decision Making for simulation-based models. Trans. Mach. Learn. Res. 2024 (2024)- [c9]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. ICML 2024 - [c8]Manuel Glöckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke:
All-in-one simulation-based inference. ICML 2024 - [i13]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 abs/2402.12231 (2024) - [i12]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 abs/2403.12636 (2024) - [i11]Manuel Glöckler, Michael Deistler, Christian Weilbach, Frank Wood, Jakob H. Macke:
All-in-one simulation-based inference. CoRR abs/2404.09636 (2024) - [i10]Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
sbi reloaded: a toolkit for simulation-based inference workflows. CoRR abs/2411.17337 (2024) - 2023
- [c7]Manuel Glöckler, Michael Deistler, Jakob H. Macke:
Adversarial robustness of amortized Bayesian inference. ICML 2023: 11493-11524 - [c6]Richard Gao, Michael Deistler, Jakob H. Macke:
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. NeurIPS 2023 - [i9]Manuel Glöckler, Michael Deistler, Jakob H. Macke:
Adversarial robustness of amortized Bayesian inference. CoRR abs/2305.14984 (2023) - [i8]Richard Gao, Michael Deistler, Jakob H. Macke:
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. CoRR abs/2305.15208 (2023) - [i7]Mila Gorecki, Jakob H. Macke, Michael Deistler:
Amortized Bayesian Decision Making for simulation-based models. CoRR abs/2312.02674 (2023) - 2022
- [c5]Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke:
Group equivariant neural posterior estimation. ICLR 2022 - [c4]Manuel Glöckler, Michael Deistler, Jakob H. Macke:
Variational methods for simulation-based inference. ICLR 2022 - [c3]Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H. Macke, Philipp Berens:
Efficient identification of informative features in simulation-based inference. NeurIPS 2022 - [c2]Michael Deistler, Pedro J. Gonçalves, Jakob H. Macke:
Truncated proposals for scalable and hassle-free simulation-based inference. NeurIPS 2022 - [i6]Manuel Glöckler, Michael Deistler, Jakob H. Macke:
Variational methods for simulation-based inference. CoRR abs/2203.04176 (2022) - [i5]Michael Deistler, Pedro J. Gonçalves, Jakob H. Macke:
Truncated proposals for scalable and hassle-free simulation-based inference. CoRR abs/2210.04815 (2022) - [i4]Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H. Macke, Philipp Berens:
Efficient identification of informative features in simulation-based inference. CoRR abs/2210.11915 (2022) - 2021
- [i3]Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke:
Group equivariant neural posterior estimation. CoRR abs/2111.13139 (2021) - 2020
- [j1]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): 2505 (2020) - [i2]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 abs/2007.09114 (2020)
2010 – 2019
- 2019
- [c1]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: 48-53 - [i1]Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng:
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. CoRR abs/1906.10592 (2019)
Coauthor Index
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