Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 936 papers shown

Title
Region Invariant Normalizing Flows for Mobility Transfer Vinayak Gupta Srikanta J. Bedathur 69 12 0 13 Sep 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 34 2 0 09 Sep 2021
IICNet: A Generic Framework for Reversible Image Conversion Ka Leong Cheng Yueqi Xie Qifeng Chen 48 24 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 26 24 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 53 42 0 06 Sep 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 49 150 0 01 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 179 90 0 31 Aug 2021
Extracting Stochastic Governing Laws by Nonlocal Kramers-Moyal Formulas Yubin Lu Yang Li Jinqiao Duan 21 16 0 28 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 32 71 0 26 Aug 2021
Parallelised Diffeomorphic Sampling-based Motion Planning Tin Lai Weiming Zhi Tucker Hermans Fabio Ramos 29 26 0 26 Aug 2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction Wei Mao Miaomiao Liu Mathieu Salzmann 3DH 27 75 0 19 Aug 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 27 57 0 18 Aug 2021
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin M. Geist OffRL 24 9 0 16 Aug 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 36 5 0 12 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 49 18 0 09 Aug 2021
Pathfinder: Parallel quasi-Newton variational inference Lu Zhang Bob Carpenter A. Gelman Aki Vehtari 50 40 0 09 Aug 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 28 118 0 29 Jul 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 35 16 0 28 Jul 2021
High-Dimensional Distribution Generation Through Deep Neural Networks Dmytro Perekrestenko Léandre Eberhard Helmut Bölcskei OOD 38 6 0 26 Jul 2021
Human Pose Regression with Residual Log-likelihood Estimation Jiefeng Li Siyuan Bian Ailing Zeng Can Wang Bo Pang Wentao Liu Cewu Lu 27 193 0 23 Jul 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing Tomas Geffner Justin Domke 33 34 0 08 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 44 857 0 07 Jul 2021
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors Dhruv V. Patel Deep Ray Assad A. Oberai AI4CE 19 37 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 39 1 0 05 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 23 27 0 04 Jul 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 23 353 0 29 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 32 10 0 25 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 26 0 0 24 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 26 16 0 24 Jun 2021
Black Box Variational Bayesian Model Averaging Vojtech Kejzlar Shrijita Bhattacharya Mookyong Son T. Maiti BDL 26 3 0 23 Jun 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 31 132 0 23 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 41 2 0 23 Jun 2021
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 32 20 0 21 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 34 8 0 21 Jun 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation Magda Amiridi Nikos Kargas N. Sidiropoulos 21 10 0 20 Jun 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 25 22 0 18 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering Ioannis Gatopoulos M. Stol Vincent Tao Hu SSL 40 11 0 18 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 36 38 0 18 Jun 2021
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks Joseph Aylett-Bullock S. Badger Ryan Moodie 23 22 0 17 Jun 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 32 82 0 17 Jun 2021
Improving Bridge estimators via $f$ -GAN Hanwen Xing OT 21 3 0 14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 29 82 0 11 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics Charlotte Bunne Laetitia Meng-Papaxanthos Andreas Krause Marco Cuturi OT 51 82 0 11 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 89 847 0 11 Jun 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam A. Makadia 25 76 0 10 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 24 36 0 10 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 18 659 0 10 Jun 2021