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Michael Deistler
Michael Deistler
Tübingen University
Подтвержден адрес электронной почты в домене uni-tuebingen.de - Главная страница
Название
Процитировано
Процитировано
Год
SBI--A toolkit for simulation-based inference
A Tejero-Cantero*, J Boelts*, M Deistler*, JM Lueckmann*, C Durkan*, ...
Journal of Open Source Software 5 (52), 2505, 2020
3032020
Training deep neural density estimators to identify mechanistic models of neural dynamics
PJ Gonçalves*, JM Lueckmann*, M Deistler*, M Nonnenmacher, K Öcal, ...
Elife 9, e56261, 2020
2482020
Truncated proposals for scalable and hassle-free simulation-based inference
M Deistler, PJ Goncalves, JH Macke
Advances in Neural Information Processing Systems (NeurIPS), 2022
542022
Variational methods for simulation-based inference
M Glöckler, M Deistler, JH Macke
International Conference on Learning Representations (ICLR), 2021
542021
Energy efficient network activity from disparate circuit parameters
M Deistler, JH Macke*, PJ Gonçalves*
Proceedings of the National Academy of Sciences 119 (44), e2207632119, 2022
34*2022
Group equivariant neural posterior estimation
M Dax, SR Green, J Gair, M Deistler, B Schölkopf, JH Macke
International Conference on Learning Representations (ICLR), 2021
332021
All-in-one simulation-based inference
M Gloeckler, M Deistler, C Weilbach, F Wood, JH Macke
International Conference on Machine Learning (ICML), 2024
192024
Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types
Y Bernaerts, M Deistler, PJ Gonçalves, J Beck, M Stimberg, F Scala, ...
bioRxiv, 2023.03. 02.530774, 2023
13*2023
Adversarial robustness of amortized Bayesian inference
M Glöckler, M Deistler, JH Macke
International Conference on Machine Learning (ICML), 2023
122023
A practical guide to statistical distances for evaluating generative models in science
S Bischoff, A Darcher, M Deistler, R Gao, F Gerken, M Gloeckler, L Haxel, ...
Transactions of Machine Learning Research (TMLR), 2024
9*2024
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
R Gao*, M Deistler*, JH Macke
Advances in Neural Information Processing Systems (NeurIPS), 2023
62023
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
J Beck, N Bosch, M Deistler, KL Kadhim, JH Macke, P Hennig, P Berens
International Conference on Machine Learning (ICML), 2024
42024
Efficient identification of informative features in simulation-based inference
J Beck, M Deistler, Y Bernaerts, J Macke, P Berens
Advances in Neural Information Processing Systems (NeurIPS), 2022
42022
Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms
R Gao, M Deistler, A Schulz, PJ Gonçalves, JH Macke
Biorxiv, 2024.08. 21.608969, 2024
32024
Tactile hallucinations on artificial skin induced by homeostasis in a deep boltzmann machine
M Deistler*, Y Yener*, F Bergner, P Lanillos, G Cheng
2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 48-53, 2019
32019
Statistical inference for analyzing sloppiness in neuroscience models
M Deistler, PJ Goncalves, JM Lueckmann, K Oecal, DS Greenberg, ...
Bernstein Conference 2019, Berlin, Germany, 2019
22019
Local learning rules to attenuate forgetting in neural networks
M Deistler*, M Sorbaro*, ME Rule, MH Hennig
arXiv preprint arXiv:1807.05097, 2018
22018
Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics
M Deistler, KL Kadhim, M Pals, J Beck, Z Huang, M Gloeckler, ...
bioRxiv, 2024.08. 21.608979, 2024
12024
Amortized Bayesian Decision Making for simulation-based models
M Gorecki, JH Macke, M Deistler
Transactions of Machine Learning Research (TMLR), 2023
12023
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
AN Krouglova, HR Johnson, B Confavreux, M Deistler, PJ Gonçalves
arXiv preprint arXiv:2502.08416, 2025
2025
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Статьи 1–20