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

S. Bischoff, A. Darcher, M. Deistler, R. Gao, F. Gerken, M. Glöckler, L. Haxel, J. Kapoor, J. Lappalainen, J. Macke, G. Moss, M. Pals, F. Pei, R. Rapp, A. Sagtekin, C. Schröder, A. Schulz, Z. Stefanidi, S. Toyota, L. Ulmer, and J. Vetter. CoRR, (2024)

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Michael Deistler

Hanns Deistler

Petra Deistler

Michael Krug

X-ray crystallographic analysis of the archaeal transcriptional regulator TrmB and development of a graphical user interface for the monochromatic diffraction data processing software XDSM. Krug. Uni Konstanz, (2009)

Other publications of authors with the same name

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations.J. Beck, N. Bosch, M. Deistler, K. Kadhim, J. Macke, P. Hennig, and P. Berens. CoRR, (2024)sbi: A toolkit for simulation-based inference.Á. Tejero-Cantero, J. Boelts, M. Deistler, J. Lueckmann, C. Durkan, P. Gonçalves, D. Greenberg, and J. Macke. J. Open Source Softw., 5 (52): 2505 (2020)Amortized Bayesian Decision Making for simulation-based models.M. Gorecki, J. Macke, and M. Deistler. CoRR, (2023)Truncated proposals for scalable and hassle-free simulation-based inference.M. Deistler, P. Gonçalves, and J. Macke. NeurIPS, (2022)Group equivariant neural posterior estimation.M. Dax, S. Green, J. Gair, M. Deistler, B. Schölkopf, and J. Macke. ICLR, OpenReview.net, (2022)Variational methods for simulation-based inference.M. Glöckler, M. Deistler, and J. Macke. ICLR, OpenReview.net, (2022)Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation.R. Gao, M. Deistler, and J. Macke. CoRR, (2023)Adversarial robustness of amortized Bayesian inference.M. Glöckler, M. Deistler, and J. Macke. ICML, volume 202 of Proceedings of Machine Learning Research, page 11493-11524. PMLR, (2023)Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine.M. Deistler, Y. Yener, F. Bergner, P. Lanillos, and G. Cheng. CBS, page 48-53. IEEE, (2019)Group equivariant neural posterior estimation.M. Dax, S. Green, J. Gair, M. Deistler, B. Schölkopf, and J. Macke. CoRR, (2021)

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Disambiguation of "Deistler, Michael"

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

Please choose a person to relate this publication to

Michael Deistler

Michael Deistler

Hanns Deistler

Petra Deistler

Michael Krug

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Deistler, Michael"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.

Please choose a person to relate this publication to

Michael Deistler

Michael Deistler

Hanns Deistler

Petra Deistler

Michael Krug

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.