Michael Deistler

1. All-in-one simulation-based inference
   2024/04/15 by Manuel Gloeckler, Gloeckler, Manuel, Michael Deistler +7 · 2 voices · 12 citations
   Decision Sciences · #Simulation Techniques and Applications #cs.AI #cs.LG #stat.ML
2. Simulation-Based Inference: A Practical Guide
   2025/08/18 by Michael Deistler, Jan Boelts, Deistler, Michael +25 · 3 voices · 11 citations
   #stat.ML #cs.LG
3. sbi reloaded: a toolkit for simulation-based inference workflows
   2024/11/26 by Jan Boelts, Michael Deistler, Boelts, Jan +63 · 12 citations
   Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Simulation Techniques and Applications
4. Variational methods for simulation-based inference
   2022/03/08 by Manuel Glöckler, Glöckler, Manuel, Michael Deistler +3 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
5. Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
   2023/05/24 by Richard Gao, Gao, Richard, Michael Deistler +3 · 2 citations
   Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
6. Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
   2024/02/19 by Jonas Beck, Nathanael Bosch, Beck, Jonas +11 · 2 citations
   Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
7. Multifidelity Simulation-based Inference for Computationally Expensive Simulators
   2025/02/12 by Anastasia N. Krouglova, Hayden R. Johnson, Krouglova, Anastasia N. +7 · 3 citations
   Decision Sciences · #Simulation Techniques and Applications
8. Adversarial robustness of amortized Bayesian inference
   2023/05/24 by Manuel Glöckler, Glöckler, Manuel, Michael Deistler +3 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics
   2025/11/13 by Michael Deistler, Kyra L. Kadhim, Matthijs Pals +8 · 1 voice · 2 citations
   Computer Science · Neuroscience · Biochemistry, Genetics and Molecular Biology · #Neural Networks and Reservoir Computing #Neural dynamics and brain function #Cell Image Analysis Techniques