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Michael U. Gutmann

University of Edinburgh
University of Helsinki

124

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4184

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Statistical applications of contrastive learning.

2022 CoRR
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Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods

2021 NeurIPS | Neural Information Processing Systems
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Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds.

2021 arXiv: Machine Learning
- Steven Kleinegesse
- Michael U. Gutmann
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Variational Gibbs inference for statistical model estimation from incomplete data.

2021 arXiv: Learning
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Bayesian Experimental Design for Intractable Models of Cognition

2021
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Bayesian Optimal Experimental Design for Simulator Models of Cognition.

2021 arXiv: Learning
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Bayesian Optimal Experimental Design for Simulator Models of Cognition

2021
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Neural Approximate Sufficient Statistics for Implicit Models

2021 ICLR | International Conference on Learning Representations
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Molecular Patterns in Acute Pancreatitis Reflect Generalizable Endotypes of the Host Response to Systemic Injury in Humans.

2020 Annals of Surgery
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Parallel Gaussian Process Surrogate Bayesian Inference with Noisy Likelihood Evaluations

2020 Bayesian Analysis
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