2 papers
stat.ML2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence
Benjamin Kurt Miller, Marco Federici, Christoph Weniger +1
In Simulation-based Inference, the goal is to solve the inverse problem when the likelihood is only known implicitly. Neural Posterior Estimation commonly fits a normalized density…
cs.LG2023
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forré, Ryota Tomioka +1
Markov processes are widely used mathematical models for describing dynamic systems in various fields. However, accurately simulating large-scale systems at long time scales is com…