Skip to content
conftrace_

neural density estimator

6 papers

Explore in graph

Co-occurring keywords · papers mentioning both

parameter complexity (1) amortized bayesian inference (1) joint probabilistic model (1) gravitational wave (1) self-consistency loss (1) low-data regime (1) bijective mapping (1) normalizing constant (1) wasserstein gradient flow (1) simulator model (1)

Papers

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference ICML 2024 Group equivariant neural posterior estimation ICLR 2022 A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020 NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NeurIPS 2020 On Contrastive Learning for Likelihood-free Inference ICML 2020 Autoregressive Energy Machines ICML 2019