v1v2v3v4v5v6 (latest)

Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,271 papers shown

Title
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 311 53 0 27 May 2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning Seunghyuk Cho Juyong Lee Jaesik Park Dongwoo Kim 55 13 0 25 May 2022
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation Fan Wang Weiming Liu Chaochao Chen Mengying Zhu Xiaolin Zheng 74 2 0 24 May 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 86 27 0 24 May 2022
NFL: Robust Learned Index via Distribution Transformation Shangyu Wu Yufei Cui Jinghuan Yu Xuan Sun Tei-Wei Kuo Chun Jason Xue OOD 70 28 0 24 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 128 14 0 23 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 85 19 0 23 May 2022
Global Extreme Heat Forecasting Using Neural Weather Models I. Lopez‐Gomez A. McGovern Shreya Agrawal Jason Hickey AI4Cl 93 37 0 23 May 2022
Contrastive Learning of Coarse-Grained Force Fields Xinqiang Ding Bin W. Zhang 67 21 0 22 May 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi Runa Eschenhagen Philipp Hennig BDL 94 13 0 20 May 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 79 2 0 19 May 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 102 10 0 17 May 2022
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 61 11 0 16 May 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 142 9 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 Jilong Li Ping Li 88 50 0 13 May 2022
Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation Mathieu Fontaine Kouhei Sekiguchi Aditya Arie Nugraha Yoshiaki Bando Kazuyoshi Yoshii 29 4 0 11 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 45 2 0 11 May 2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics Rikab Gambhir Benjamin Nachman Jesse Thaler AI4CE 107 8 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 42 4 0 10 May 2022
White-box Testing of NLP models with Mask Neuron Coverage Arshdeep Sekhon Yangfeng Ji Matthew B. Dwyer Yanjun Qi AAML 52 3 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 94 12 0 10 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 86 32 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 146 221 0 09 May 2022
Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization Vahid Keshavarzzadeh Robert M. Kirby A. Narayan BDL 62 2 0 07 May 2022
Scalable computation of prediction intervals for neural networks via matrix sketching Alexander Fishkov Maxim Panov UQCV 56 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 59 2 0 05 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 76 6 0 02 May 2022
WeaNF: Weak Supervision with Normalizing Flows Andreas Stephan Benjamin Roth 89 0 0 28 Apr 2022
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images Yajie Cui Zhaoxiang Liu Kai Wang OOD DRL 110 47 0 24 Apr 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 56 0 0 23 Apr 2022
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow Ki-Ung Song D. Shim Kang-Wook Kim Jae-young Lee Young-Gon Kim SupR 57 9 0 20 Apr 2022
Generating 3D Molecules for Target Protein Binding Meng Liu Youzhi Luo Kanji Uchino Koji Maruhashi Shuiwang Ji 90 122 0 19 Apr 2022
Metappearance: Meta-Learning for Visual Appearance Reproduction Michael Fischer Tobias Ritschel 3DH 68 10 0 19 Apr 2022
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection C. Fanelli James Giroux Z. Papandreou AI4CE 50 16 0 19 Apr 2022
A Variational Approach to Bayesian Phylogenetic Inference Cheng Zhang IV FrederickA.Matsen BDL 77 18 0 16 Apr 2022
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation Aditya Chattopadhyay Xi Zhang David Wipf H. Arora René Vidal DRL 3DV 73 2 0 11 Apr 2022
Heterogeneous Target Speech Separation Hyunjae Cho Wonbin Jung Junhyeok Lee Paris Smaragdis Sanghyun Woo 92 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 110 13 0 04 Apr 2022
Discretely Indexed Flows Elouan Argouarc'h Franccois Desbouvries Eric Barat Eiji Kawasaki T. Dautremer 45 0 0 04 Apr 2022
Scalable Semi-Modular Inference with Variational Meta-Posteriors Chris U. Carmona Geoff K. Nicholls 56 11 0 01 Apr 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo Shahin Boluki Zhangyang Wang Bobak J. Mortazavi Shuai Huang Xiaoning Qian 43 2 0 31 Mar 2022
Clean Implicit 3D Structure from Noisy 2D STEM Images H. Kniesel Timo Ropinski T. Bergner K. S. Devan C. Read P. Walther Tobias Ritschel Pedro Hermosilla 43 10 0 29 Mar 2022
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo J. Stokes Brian Chen S. Veerapaneni 78 6 0 28 Mar 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 73 7 0 24 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 81 11 0 23 Mar 2022
VQ-Flows: Vector Quantized Local Normalizing Flows Sahil Sidheekh Chris B. Dock Tushar Jain R. Balan M. Singh 71 8 0 22 Mar 2022
Interpreting Class Conditional GANs with Channel Awareness Yin-Yin He Zhiyi Zhang Jiapeng Zhu Yujun Shen Qifeng Chen GAN 61 1 0 21 Mar 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 99 8 0 19 Mar 2022
Decouple-and-Sample: Protecting sensitive information in task agnostic data release Abhishek Singh Ethan Garza Ayush Chopra Praneeth Vepakomma Vivek Sharma Ramesh Raskar 63 7 0 17 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 111 39 0 16 Mar 2022