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Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling

International Conference on Learning Representations (ICLR), 2021

12 October 2021

Papers citing "Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling"

3 / 3 papers shown

Title
Structured Neural Networks for Density Estimation and Causal InferenceNeural Information Processing Systems (NeurIPS), 2023 Asic Q. Chen Ruian Shi Xiang Gao Ricardo Baptista Rahul G. Krishnan CML TPM 159 8 0 03 Nov 2023
Structured Stochastic Gradient MCMCInternational Conference on Machine Learning (ICML), 2021 Antonios Alexos Alex Boyd Stephan Mandt BDL 211 13 0 19 Jul 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative ModelingNeural Information Processing Systems (NeurIPS), 2021 Naoya Takeishi Alexandros Kalousis DRL AI4CE 257 69 0 25 Feb 2021