v1v2v3v4v5v6 (latest)

Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,270 papers shown

Title
Continuous Methods : Hamiltonian Domain Translation Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 46 1 0 08 Jul 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm Nader Ganaba 63 0 0 07 Jul 2022
Variational Flow Graphical Model Shaogang Ren Belhal Karimi Dingcheng Li Ping Li 96 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 51 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 313 33 0 06 Jul 2022
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 84 82 0 05 Jul 2022
Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 66 2 0 04 Jul 2022
Learning Disentangled Representations for Controllable Human Motion Prediction Chunzhi Gu Junzhou Yu Chao Zhang DRL 64 12 0 04 Jul 2022
ν-Flows: Conditional Neutrino Regression Matthew Leigh J. A. Raine K. Zoch T. Golling BDL 128 25 0 01 Jul 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 110 28 0 29 Jun 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 90 39 0 29 Jun 2022
Supervised Training of Conditional Monge Maps Charlotte Bunne Andreas Krause Marco Cuturi OT 150 65 0 28 Jun 2022
Generative Anomaly Detection for Time Series Datasets Zhuangwei Kang Ayan Mukhopadhyay A. Gokhale Shijie Wen Abhishek Dubey AI4TS 58 1 0 28 Jun 2022
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation Xin-Yang Zheng Yang Liu Peng-Shuai Wang Xin Tong 108 97 0 24 Jun 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 107 10 0 23 Jun 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross Gabriel Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 75 3 0 22 Jun 2022
Neural Inverse Transform Sampler Henry Li Y. Kluger 57 4 0 22 Jun 2022
Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR) G. Edenhofer R. Leike Philipp Frank T. Ensslin 39 5 0 21 Jun 2022
Marginal Tail-Adaptive Normalizing Flows M. Laszkiewicz Johannes Lederer Asja Fischer MedIm 75 8 0 21 Jun 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling Yu Cao Eric Vanden-Eijnden 68 3 0 20 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 69 2 0 20 Jun 2022
Additive Gaussian Processes Revisited Xiaoyu Lu A. Boukouvalas J. Hensman 54 23 0 20 Jun 2022
Conditional Permutation Invariant Flows Berend Zwartsenberg Adam Scibior Matthew Niedoba Vasileios Lioutas Yunpeng Liu Justice Sefas Setareh Dabiri J. Lavington Trevor Campbell Frank Wood 56 8 0 17 Jun 2022
Generalised Policy Improvement with Geometric Policy Composition S. Thakoor Mark Rowland Diana Borsa Will Dabney Rémi Munos André Barreto OffRL 50 8 0 17 Jun 2022
Texture Generation Using A Graph Generative Adversarial Network And Differentiable Rendering K. Dharma Clayton T. Morrison Bradley L. Walls GAN 42 3 0 17 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 98 30 0 16 Jun 2022
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring Adam Goodge Bryan Hooi See Kiong Ng Wee Siong Ng 20 1 0 15 Jun 2022
Calibrating Agent-based Models to Microdata with Graph Neural Networks Joel Dyer Patrick W Cannon J. Farmer Sebastian M. Schmon 309 12 0 15 Jun 2022
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator Ting-Han Fan Ta-Chung Chi Alexander I. Rudnicky Peter J. Ramadge BDL 72 7 0 15 Jun 2022
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows Phillip Si Zeyi Chen Subham S. Sahoo Yair Schiff Volodymyr Kuleshov 109 7 0 14 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 74 31 0 13 Jun 2022
Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs Nutan Chen Patrick van der Smagt Botond Cseke CLL 58 2 0 13 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 73 3 0 12 Jun 2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences Vinayak Gupta Srikanta J. Bedathur AI4TS 98 16 0 10 Jun 2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training Sang-gil Lee Ming-Yu Liu Boris Ginsburg Bryan Catanzaro Sung-Hoon Yoon 165 255 0 09 Jun 2022
Probability flow solution of the Fokker-Planck equation Nicholas M. Boffi Eric Vanden-Eijnden 120 47 0 09 Jun 2022
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression Patryk Wielopolski Maciej Ziȩba UQCV 76 1 0 08 Jun 2022
Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata Tianyu Li Bogdan Mazoure Guillaume Rabusseau 145 0 0 08 Jun 2022
Joint Manifold Learning and Density Estimation Using Normalizing Flows S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour DRL 58 0 0 07 Jun 2022
Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach Honglin Wen Pierre Pinson Jinghuan Ma Jie Gu Zhijiang Jin 54 25 0 06 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 110 21 0 06 Jun 2022
Statistical Deep Learning for Spatial and Spatio-Temporal Data C. Wikle A. Zammit‐Mangion BDL 154 50 0 05 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 66 5 0 05 Jun 2022
MCD: Marginal Contrastive Discrimination for conditional density estimation Benjamin Riu 35 0 0 03 Jun 2022
Mesh-free Eulerian Physics-Informed Neural Networks F. A. Torres M. Negri Monika Nagy-Huber M. Samarin Volker Roth PINN AI4CE 121 5 0 03 Jun 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 81 0 0 01 Jun 2022
Learning (Very) Simple Generative Models Is Hard Sitan Chen Jungshian Li Yuanzhi Li 80 11 0 31 May 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 118 10 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 231 51 0 30 May 2022
3DILG: Irregular Latent Grids for 3D Generative Modeling Biao Zhang Matthias Nießner Peter Wonka 3DV 118 91 0 27 May 2022