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Author search results
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- Jakob H. Macke
University of Tübingen, Germany
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Publication search results
found 78 matches
- 2024
- Matthijs Pals, Jakob H. Macke, Omri Barak:
Trained recurrent neural networks develop phase-locked limit cycles in a working memory task. PLoS Comput. Biol. 20(2) (2024) - 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. ICML 2024 - Manuel Glöckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke:
All-in-one simulation-based inference. ICML 2024 - Cornelius Schröder, Jakob H. Macke:
Simultaneous identification of models and parameters of scientific simulators. ICML 2024 - Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke:
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation. CoRR abs/2402.07808 (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 abs/2402.12231 (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 abs/2403.12636 (2024) - Manuel Glöckler, Michael Deistler, Christian Weilbach, Frank Wood, Jakob H. Macke:
All-in-one simulation-based inference. CoRR abs/2404.09636 (2024) - Matthijs Pals, A Erdem Sagtekin, Felix Pei, Manuel Glöckler, Jakob H. Macke:
Inferring stochastic low-rank recurrent neural networks from neural data. CoRR abs/2406.16749 (2024) - Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke:
Latent Diffusion for Neural Spiking Data. CoRR abs/2407.08751 (2024) - Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf:
Real-time gravitational-wave inference for binary neutron stars using machine learning. CoRR abs/2407.09602 (2024) - 2023
- Jan Boelts, Philipp Harth, Richard Gao, Daniel Udvary, Felipe Yáñez, Daniel Baum, Hans-Christian Hege, Marcel Oberländer, Jakob H. Macke:
Simulation-based inference for efficient identification of generative models in computational connectomics. PLoS Comput. Biol. 19(9) (2023) - Manuel Glöckler, Michael Deistler, Jakob H. Macke:
Adversarial robustness of amortized Bayesian inference. ICML 2023: 11493-11524 - Basile Confavreux, Poornima Ramesh, Pedro J. Gonçalves, Jakob H. Macke, Tim P. Vogels:
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference. NeurIPS 2023 - Richard Gao, Michael Deistler, Jakob H. Macke:
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. NeurIPS 2023 - Jonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf:
Flow Matching for Scalable Simulation-Based Inference. NeurIPS 2023 - Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner:
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis. CoRR abs/2301.03588 (2023) - Manuel Glöckler, Michael Deistler, Jakob H. Macke:
Adversarial robustness of amortized Bayesian inference. CoRR abs/2305.14984 (2023) - Cornelius Schröder, Jakob H. Macke:
Simultaneous identification of models and parameters of scientific simulators. CoRR abs/2305.15174 (2023) - Richard Gao, Michael Deistler, Jakob H. Macke:
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. CoRR abs/2305.15208 (2023) - Maximilian Dax, Jonas Wildberger, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf:
Flow Matching for Scalable Simulation-Based Inference. CoRR abs/2305.17161 (2023) - Mila Gorecki, Jakob H. Macke, Michael Deistler:
Amortized Bayesian Decision Making for simulation-based models. CoRR abs/2312.02674 (2023) - Guy Moss, Vjeran Visnjevic, Olaf Eisen, Falk M. Oraschewski, Cornelius Schröder, Jakob H. Macke, Reinhard Drews:
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers. CoRR abs/2312.02997 (2023) - 2022
- Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke:
Group equivariant neural posterior estimation. ICLR 2022 - Manuel Glöckler, Michael Deistler, Jakob H. Macke:
Variational methods for simulation-based inference. ICLR 2022 - Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
GATSBI: Generative Adversarial Training for Simulation-Based Inference. ICLR 2022 - Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H. Macke, Philipp Berens:
Efficient identification of informative features in simulation-based inference. NeurIPS 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. CoRR abs/2203.04176 (2022)
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