Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations Vincent Dumont X. Ju Juliane Mueller AI4CE 30 4 0 12 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 33 7 0 05 Aug 2022
An Optimal Likelihood Free Method for Biological Model Selection Vincent D. Zaballa E. Hui 34 0 0 03 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 38 77 0 03 Aug 2022
Quantum Adaptive Fourier Features for Neural Density Estimation Joseph A. Gallego-Mejia Fabio A. González 18 9 0 01 Aug 2022
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 36 27 0 24 Jul 2022
Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge Harkirat Singh Behl Lyne Tchapmi Suriya Gunasekar Neel Joshi Ya-heng Song Xin Wang Laurent Itti Vibhav Vineet 37 33 0 22 Jul 2022
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation T. C. Pedroso Javier Del Ser Natalia Díaz Rodríguez 22 5 0 18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 34 3 0 17 Jul 2022
Neural Posterior Estimation with Differentiable Simulators Justine Zeghal F. Lanusse Alexandre Boucaud B. Remy E. Aubourg 35 14 0 12 Jul 2022
Continuous Methods : Hamiltonian Domain Translation Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 24 1 0 08 Jul 2022
Variational Flow Graphical Model Shaogang Ren Belhal Karimi Dingcheng Li Ping Li 25 4 0 06 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 20 7 0 06 Jul 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 42 30 0 06 Jul 2022
Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 16 2 0 04 Jul 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 35 26 0 29 Jun 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 22 10 0 23 Jun 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling Yu Cao Eric Vanden-Eijnden 21 3 0 20 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 26 2 0 20 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 38 2 0 12 Jun 2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences Vinayak Gupta Srikanta J. Bedathur AI4TS 27 16 0 10 Jun 2022
Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata Tianyu Li Bogdan Mazoure Guillaume Rabusseau 23 0 0 08 Jun 2022
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
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 33 4 0 05 Jun 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 37 0 0 01 Jun 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 53 10 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 52 0 27 May 2022
NFL: Robust Learned Index via Distribution Transformation Shangyu Wu Yufei Cui Jinghuan Yu Xuan Sun Tei-Wei Kuo Chun Jason Xue OOD 29 25 0 24 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 45 18 0 23 May 2022
Contrastive Learning of Coarse-Grained Force Fields Xinqiang Ding Bin W. Zhang 45 21 0 22 May 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 35 10 0 17 May 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 57 8 0 16 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 24 50 0 13 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 21 2 0 11 May 2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics Rikab Gambhir Benjamin Nachman Jesse Thaler AI4CE 32 7 0 10 May 2022
A High Throughput Generative Vector Autoregression Model for Stochastic Synapses T. Hennen A. Elías J. Nodin G. Molas R. Waser D. J. Wouters D. Bedau 14 4 0 10 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera OffRL 32 11 0 10 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 35 29 0 10 May 2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality Xu Tan Jiawei Chen Haohe Liu Jian Cong Chen Zhang ... Lei He Frank Soong Tao Qin Sheng Zhao Tie-Yan Liu 44 213 0 09 May 2022
Scalable computation of prediction intervals for neural networks via matrix sketching Alexander Fishkov Maxim Panov UQCV 36 1 0 06 May 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding Zhi Qi Hong Xie Ye Li Jian Tan Feifei Li John C. S. Lui AI4TS 16 1 0 05 May 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 20 0 0 23 Apr 2022
A Variational Approach to Bayesian Phylogenetic Inference Cheng Zhang IV FrederickA.Matsen BDL 24 17 0 16 Apr 2022
Heterogeneous Target Speech Separation Hyunjae Cho Wonbin Jung Junhyeok Lee Paris Smaragdis Sanghyun Woo 48 26 0 07 Apr 2022
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE Xiaoyu Bie Wen Guo Simon Leglaive Laurent Girin Francesc Moreno-Noguer Xavier Alameda-Pineda VGen 3DH 35 13 0 04 Apr 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models Ge Kan Jinhu Lu Tian Wang Baochang Zhang Aichun Zhu Lei Huang Guodong Guo H. Snoussi 35 6 0 24 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 34 10 0 23 Mar 2022