Michael Deistler
8 papers · 2022–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Bayesian & Probabilistic · Artificial Intelligence
(7)
Optimization & Theory
(7)
Deep Learning
(2)
Models
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Keywords
simulation-based inference
(7)
posterior distribution
(3)
bayesian inference
(3)
amortized inference
(3)
variational inference
(2)
fisher information
(1)
posterior estimation
(1)
diffusion model
(1)
cost function
(1)
ordinary differential equation
(1)
group equivariance
(1)
sequential inference
(1)
joint distribution
(1)
inference network
(1)
surrogate likelihood
(1)
neural posterior estimation
(1)
neural likelihood estimation
(1)
generalized bayesian inference
(1)
neural density estimator
(1)
amortized bayesian inference
(1)
Papers
All-in-one simulation-based inference
ICML 2024
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
ICML 2024
Adversarial robustness of amortized Bayesian inference
ICML 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
NeurIPS 2023
Efficient identification of informative features in simulation-based inference
NeurIPS 2022
Group equivariant neural posterior estimation
ICLR 2022
Truncated proposals for scalable and hassle-free simulation-based inference
NeurIPS 2022
Variational methods for simulation-based inference
ICLR 2022