Amortized Inference Regularization

Amortized Inference Regularization

23 May 2018

Mykel J. Kochenderfer

Papers citing "Amortized Inference Regularization"

15 / 15 papers shown

Title
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data Maximilian Stupp P. S. Koutsourelakis 40 0 0 29 Apr 2025
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 35 19 0 06 Jun 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 53 17 0 23 Feb 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork Alan Q. Wang Adrian V. Dalca M. Sabuncu 38 8 0 22 Feb 2022
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 36 2 0 23 Jun 2021
Partition Function Estimation: A Quantitative Study Durgesh Kumar Agrawal Yash Pote Kuldeep S. Meel 28 11 0 24 May 2021
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components Junwen Bai Weiran Wang Yingbo Zhou Caiming Xiong SSL AI4TS 27 12 0 07 Oct 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian V. Dalca M. Sabuncu 31 26 0 29 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback Ilya Shenbin Anton M. Alekseev E. Tutubalina Valentin Malykh Sergey I. Nikolenko BDL DRL 18 196 0 24 Dec 2019
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 27 7 0 11 Nov 2019
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 13 38 0 19 Nov 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric P. Xing BDL 67 157 0 05 Oct 2012