Search Results for author: Pierre Glaser

Found 2 papers, 2 papers with code

Date Published Github Stars

Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference

1 code implementation • 26 Oct 2022 • Pierre Glaser, Michael Arbel, Samo Hromadka, Arnaud Doucet, Arthur Gretton

We introduce two synthetic likelihood methods for Simulation-Based Inference (SBI), to conduct either amortized or targeted inference from experimental observations when a high-fidelity simulator is available.

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KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support

1 code implementation • NeurIPS 2021 • Pierre Glaser, Michael Arbel, Arthur Gretton

We study the gradient flow for a relaxed approximation to the Kullback-Leibler (KL) divergence between a moving source and a fixed target distribution.

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