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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation Andreas Adelmann W. Hopkins E. Kourlitis Michael Kagan Gregor Kasieczka ... David Shih Vinicius Mikuni Benjamin Nachman K. Pedro D. Winklehner 73 31 0 15 Mar 2022
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space Emre Aksan Shugao Ma Akin Caliskan Stanislav Pidhorskyi Alexander Richard S. Wei Jason M. Saragih Otmar Hilliges 3DH 42 1 0 15 Mar 2022
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation Zitian Wang Xuecheng Nie Xiaochao Qu Yunpeng Chen Siwen Liu 3DH 73 1 0 15 Mar 2022
FLAG: Flow-based 3D Avatar Generation from Sparse Observations S. Aliakbarian Pashmina Cameron Federica Bogo Andrew Fitzgibbon T. Cashman 3DH 96 55 0 11 Mar 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 85 14 0 11 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner Justin Domke 79 5 0 08 Mar 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 279 51 0 08 Mar 2022
Dynamic Dual-Output Diffusion Models Yaniv Benny Lior Wolf DiffM 81 26 0 08 Mar 2022
Differentiable Causal Discovery Under Latent Interventions Gonccalo R. A. Faria André F. T. Martins Mário A. T. Figueiredo BDL CML OOD 95 23 0 04 Mar 2022
Interpretable Latent Variables in Deep State Space Models Haoxuan Wu David S. Matteson M. Wells BDL AI4TS 67 0 0 03 Mar 2022
Recovering 3D Human Mesh from Monocular Images: A Survey Yating Tian Hongwen Zhang Yebin Liu Limin Wang 3DH 184 133 0 03 Mar 2022
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction Elmira Amirloo Amir Rasouli P. Lakner Mohsen Rohani Jun Luo OffRL 78 21 0 03 Mar 2022
PetsGAN: Rethinking Priors for Single Image Generation Zicheng Zhang Yinglu Liu Congying Han Hailin Shi Tiande Guo Bo Zhou GAN 64 22 0 03 Mar 2022
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders M. Touranakou N. Chernyavskaya Javier Mauricio Duarte Dimitrios Gunopulos Raghav Kansal B. Orzari M. Pierini T. Tomei J. Vlimant 62 18 0 01 Mar 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 49 1 0 25 Feb 2022
Learning Invariant Weights in Neural Networks Tycho F. A. van der Ouderaa Mark van der Wilk 126 24 0 25 Feb 2022
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network Atharva Karwande Pranesh Shridhar Kulkarni Tejas Kolhe Akshay Joshi S. Kamble GAN 32 2 0 24 Feb 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 67 14 0 24 Feb 2022
Generative modeling via tensor train sketching Y. Hur J. Hoskins M. Lindsey E. Stoudenmire Y. Khoo 116 25 0 23 Feb 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 155 58 0 23 Feb 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 134 17 0 22 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 80 3 0 22 Feb 2022
Disentangling Autoencoders (DAE) Jaehoon Cha Jeyan Thiyagalingam CoGe 83 1 0 20 Feb 2022
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer Peng Xiang Xin Wen Yu-Shen Liu Yaru Cao Pengfei Wan Wen Zheng Zhizhong Han 3DPC 103 69 0 18 Feb 2022
Data-SUITE: Data-centric identification of in-distribution incongruous examples Nabeel Seedat Jonathan Crabbé Mihaela van der Schaar OOD 73 14 0 17 Feb 2022
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows Sourabh Vivek Balgi J. Peña Adel Daoud 45 4 0 17 Feb 2022
Can Deep Learning be Applied to Model-Based Multi-Object Tracking? Juliano Pinto Georg Hess William Ljungbergh Yuxuan Xia H. Wymeersch Lennart Svensson VOT 80 11 0 16 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 95 42 0 15 Feb 2022
Principal Manifold Flows Edmond Cunningham Adam D. Cobb Susmit Jha DRL 70 8 0 14 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 149 125 0 14 Feb 2022
Continual Learning with Invertible Generative Models Jary Pomponi Simone Scardapane A. Uncini BDL 106 4 0 11 Feb 2022
Bernstein Flows for Flexible Posteriors in Variational Bayes Oliver Durr Stephan Hörling Daniel Dold Ivonne Kovylov Beate Sick BDL 102 4 0 11 Feb 2022
Nonlinear MCMC for Bayesian Machine Learning James Vuckovic 72 2 0 11 Feb 2022
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics A. K. Sinha Daniele Paliotta Bálint Máté Sebastian Pina-Otey J. A. Raine T. Golling Franccois Fleuret AI4CE 84 2 0 10 Feb 2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training Zehua Chen Xu Tan Ke Wang Shifeng Pan Danilo Mandic Lei He Sheng Zhao DiffM 71 31 0 08 Feb 2022
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis Jaehoon Lee Jihyeon Hyeong Jinsung Jeon Noseong Park Jihoon Cho 62 28 0 08 Feb 2022
Grassmann Stein Variational Gradient Descent Xingtu Liu Harrison Zhu Jean-François Ton George Wynne Andrew Duncan 97 12 0 07 Feb 2022
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows Sourabh Vivek Balgi J. Peña Adel Daoud CML 72 16 0 07 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 111 109 0 07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 108 30 0 07 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors Mattia Cerrato A. Coronel Marius Köppel A. Segner Roberto Esposito Stefan Kramer FaML 56 5 0 07 Feb 2022
Universality of parametric Coupling Flows over parametric diffeomorphisms Junlong Lyu Zhitang Chen Chang Feng Wenjing Cun Shengyu Zhu Yanhui Geng Zhijie Xu Yuxiao Chen 63 3 0 07 Feb 2022
COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions Peter J Bentley Soo Ling Lim Adam Gaier Linh-Tam Tran 98 9 0 04 Feb 2022
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport Liyi Zhang David M. Blei C. A. Naesseth 74 7 0 03 Feb 2022
Robust Audio Anomaly Detection Wo Jae Lee Karim Helwani A. Krishnaswamy S. Tenneti OOD AI4TS 114 2 0 03 Feb 2022
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation Emma R. Cobian J. Hauenstein Fang Liu Daniele E. Schiavazzi 65 4 0 01 Feb 2022
Stay Positive: Non-Negative Image Synthesis for Augmented Reality Katie Z Luo Guandao Yang Wenqi Xian Harald Haraldsson B. Hariharan Serge Belongie DiffM 65 5 0 01 Feb 2022
Black-box Bayesian inference for economic agent-based models Joel Dyer Patrick W Cannon J. Farmer Sebastian M. Schmon 107 24 0 01 Feb 2022
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs Timon Felske Stefan Lüdtke Sebastian Bader T. Kirste 44 0 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022