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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
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi Hang Chu Joseph G. Lambourne Ye Wang Chin-Yi Cheng Marco Fumero Kamal Rahimi Malekshan CLIP 134 295 0 06 Oct 2021
Inference and De-Noising of Non-Gaussian Particle Distribution Functions: A Generative Modeling Approach J. Donaghy K. Germaschewski DiffM 34 0 0 05 Oct 2021
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild A. Sengupta Ignas Budvytis R. Cipolla 3DH 107 61 0 03 Oct 2021
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows Qiangqiang Huang Can Pu Kasra Khosoussi David M. Rosen D. Fourie Jonathan P. How J. Leonard 102 7 0 02 Oct 2021
Calibrated Multiple-Output Quantile Regression with Representation Learning Shai Feldman Stephen Bates Yaniv Romano 210 36 0 02 Oct 2021
Stochastic Contrastive Learning Jason Ramapuram Dan Busbridge Xavier Suau Russ Webb BDL SSL 105 3 0 01 Oct 2021
Smooth Normalizing Flows Jonas Köhler Andreas Krämer Frank Noé 105 55 0 01 Oct 2021
PortaSpeech: Portable and High-Quality Generative Text-to-Speech Yi Ren Jinglin Liu Zhou Zhao 137 79 0 30 Sep 2021
A Review of Text Style Transfer using Deep Learning Martina Toshevska Sonja Gievska CLIP 92 45 0 30 Sep 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 95 9 0 30 Sep 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 86 15 0 30 Sep 2021
Spread Flows for Manifold Modelling Mingtian Zhang Yitong Sun Chen Zhang Jingyu Sun AI4CE 53 2 0 29 Sep 2021
FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures Li Li Hirokazu Kameoka S. Makino DRL 77 8 0 28 Sep 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders Lisa Bonheme M. Grzes DRL 82 6 0 26 Sep 2021
Attentive Contractive Flow with Lipschitz-constrained Self-Attention Avideep Mukherjee Badri N. Patro Vinay P. Namboodiri 51 0 0 24 Sep 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint Paul Hagemann J. Hertrich Gabriele Steidl BDL 122 40 0 23 Sep 2021
Enriching and Controlling Global Semantics for Text Summarization Thong Nguyen Anh Tuan Luu Truc Lu Tho Quan 48 35 0 22 Sep 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie Matthieu Geist Olivier Pietquin AI4CE 150 37 0 20 Sep 2021
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering Yurui Ren Gezhong Li Yuanqi Chen Thomas H. Li Shan Liu DiffM VGen 120 230 0 17 Sep 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis Jing Ren Biao Zhang Bojian Wu Jianqiang Huang Lubin Fan M. Ovsjanikov Peter Wonka 68 19 0 16 Sep 2021
Region Invariant Normalizing Flows for Mobility Transfer Vinayak Gupta Srikanta J. Bedathur 94 12 0 13 Sep 2021
Scalable Font Reconstruction with Dual Latent Manifolds Nikita Srivatsan Si Wu Jonathan T. Barron Taylor Berg-Kirkpatrick BDL 89 5 0 10 Sep 2021
Latent space projection predictive inference Alejandro Catalina Paul-Christian Bürkner Aki Vehtari BDL 53 11 0 10 Sep 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 78 3 0 09 Sep 2021
IICNet: A Generic Framework for Reversible Image Conversion Ka Leong Cheng Yueqi Xie Qifeng Chen 106 25 0 09 Sep 2021
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction Duong Nguyen Ronan Fablet 114 31 0 08 Sep 2021
Learning Neural Causal Models with Active Interventions Nino Scherrer O. Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke CML 127 44 0 06 Sep 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 118 164 0 01 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 215 91 0 31 Aug 2021
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models Yu Wang Fan Liu Daniele E. Schiavazzi TPM BDL 51 14 0 28 Aug 2021
Extracting Stochastic Governing Laws by Nonlocal Kramers-Moyal Formulas Yubin Lu Yang Li Jinqiao Duan 54 16 0 28 Aug 2021
Identification of Vehicle Dynamics Parameters Using Simulation-based Inference Ali Boyali S. Thompson D. Wong 107 6 0 27 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 198 72 0 26 Aug 2021
Probabilistic Modeling for Human Mesh Recovery Nikos Kolotouros Georgios Pavlakos Dinesh Jayaraman Kostas Daniilidis 3DH 84 170 0 26 Aug 2021
Parallelised Diffeomorphic Sampling-based Motion Planning Tin Lai Weiming Zhi Tucker Hermans Fabio Ramos 78 27 0 26 Aug 2021
Modeling Item Response Theory with Stochastic Variational Inference Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman CML 66 5 0 26 Aug 2021
Few Shot Activity Recognition Using Variational Inference Neeraj Kumar Siddhansh Narang BDL VLM 43 5 0 20 Aug 2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction Wei Mao Miaomiao Liu Mathieu Salzmann 3DH 80 77 0 19 Aug 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 115 60 0 18 Aug 2021
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin Matthieu Geist OffRL 75 9 0 16 Aug 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 90 5 0 12 Aug 2021
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication Renjie Xie Wei Xu Yanzhi Chen Jiabao Yu A. Hu Derrick Wing Kwan Ng A. L. Swindlehurst 59 74 0 10 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 104 19 0 09 Aug 2021
Pathfinder: Parallel quasi-Newton variational inference Lu Zhang Bob Carpenter A. Gelman Aki Vehtari 138 41 0 09 Aug 2021
BIGRoC: Boosting Image Generation via a Robust Classifier Roy Ganz Michael Elad 69 10 0 08 Aug 2021
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 65 17 0 04 Aug 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 123 120 0 29 Jul 2021
Learning the temporal evolution of multivariate densities via normalizing flows Yubin Lu R. Maulik Ting Gao Felix Dietrich Ioannis G. Kevrekidis Jinqiao Duan 53 24 0 29 Jul 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 110 16 0 28 Jul 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 83 3 0 28 Jul 2021