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Neural Importance Sampling

11 August 2018

Markus Gross

Papers citing "Neural Importance Sampling"

50 / 185 papers shown

Title
DNS SLAM: Dense Neural Semantic-Informed SLAM Kunyi Li Michael Niemeyer Nassir Navab F. Tombari 107 19 0 30 Nov 2023
Rare Event Probability Learning by Normalizing Flows Zhenggqi Gao Dinghuai Zhang Luca Daniel Duane S. Boning 72 3 0 29 Oct 2023
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling J. Demange-Chryst François Bachoc Jérome Morio Timothé Krauth 56 2 0 13 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 125 49 0 04 Oct 2023
Manifold Path Guiding for Importance Sampling Specular Chains Zhimin Fan Pengpei Hong Jie Guo Changqing Zou Yanwen Guo Ling-Qi Yan 29 7 0 24 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics Kyle Cranmer G. Kanwar S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 88 26 0 03 Sep 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 72 8 0 04 Aug 2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Conor Hassan Roberto Salomone Kerrie Mengersen 81 6 0 28 Jul 2023
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion Shuo Huang Zongxin Yang Liangting Li Yi Yang Jia Jia DiffM 61 28 0 13 Jul 2023
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination N. Raghavan Yan Xiao Kai-En Lin Tiancheng Sun Sai Bi Zexiang Xu Tzu-Mao Li R. Ramamoorthi 60 9 0 12 Jul 2023
NeuBTF: Neural fields for BTF encoding and transfer Carlos Rodriguez-Pardo Konstantinos Kazatzis Jorge López-Moreno Elena Garces AI4CE 84 9 0 03 Jul 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 101 2 0 01 Jun 2023
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues Chen Yang Kai Wang Yuehao Wang Xiaokang Yang Wei Shen 68 41 0 31 May 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 89 60 0 26 May 2023
Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache Jiakai Sun Zhanjie Zhang Tianyi Chu Guangyuan Li Lei Zhao Lei Zhao Wei Xing 84 2 0 26 May 2023
Normalizing flow sampling with Langevin dynamics in the latent space Florentin Coeurdoux N. Dobigeon P. Chainais DRL 45 7 0 20 May 2023
Bounded KRnet and its applications to density estimation and approximation Lisheng Zeng Xiaoliang Wan Tao Zhou 59 5 0 15 May 2023
Real-Time Neural Appearance Models Tizian Zeltner Fabrice Rousselle A. Weidlich Petrik Clarberg Jan Novák Benedikt Bitterli Alex Evans Tomás Davidovic Simon Kallweit Aaron E. Lefohn 3DH AI4CE 102 19 0 04 May 2023
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM Hengyi Wang Jingwen Wang Lourdes Agapito 204 197 0 27 Apr 2023
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination David Bauer Qi Wu Kwan-Liu Ma 90 2 0 14 Apr 2023
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation Qi Wu David Bauer Yuyang Chen Kwan-Liu Ma 72 16 0 09 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 69 1 0 07 Apr 2023
Online Neural Path Guiding with Normalized Anisotropic Spherical Gaussians Jiawei Huang Akito Iizuka Hajime Tanaka Taku Komura Y. Kitamura 3DGS 77 4 0 11 Mar 2023
Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions Rohan Sawhney Bailey Miller Ioannis Gkioulekas Keenan Crane 86 28 0 23 Feb 2023
Example-Based Sampling with Diffusion Models Bastien Doignies Nicolas Bonneel D. Coeurjolly Julie Digne L. Paulin J. Iehl V. Ostromoukhov DiffM 55 0 0 10 Feb 2023
On Sampling with Approximate Transport Maps Louis Grenioux Alain Durmus Eric Moulines Marylou Gabrié OT 65 18 0 09 Feb 2023
High-precision regressors for particle physics F. Bishara A. Paul Jennifer Dy PINN AI4CE 80 1 0 02 Feb 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 125 29 0 26 Jan 2023
normflows: A PyTorch Package for Normalizing Flows Vincent Stimper David Liu Andrew Campbell V. Berenz Lukas Ryll Bernhard Schölkopf José Miguel Hernández-Lobato AI4CE 78 63 0 26 Jan 2023
Adaptive Dynamic Global Illumination S. Datta Negar Goli Jerry Zhang 15 1 0 12 Jan 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 110 7 0 08 Dec 2022
Fast Non-Rigid Radiance Fields from Monocularized Data Moritz Kappel Vladislav Golyanik Susana Castillo Christian Theobalt M. Magnor 3DH 90 5 0 02 Dec 2022
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 121 106 0 28 Nov 2022
Decorrelating ReSTIR Samplers via MCMC Mutations Rohan Sawhney Daqi Lin M. Kettunen Benedikt Bitterli R. Ramamoorthi Chris Wyman Matt Pharr 16 12 0 31 Oct 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 120 7 0 25 Oct 2022
BSDF Importance Baking: A Lightweight Neural Solution to Importance Sampling General Parametric BSDFs Yaoyi Bai Songyin Wu Z. Zeng Beibei Wang Ling-Qi Yan 60 2 0 25 Oct 2022
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Maximilian Dax Stephen R. Green J. Gair M. Purrer J. Wildberger Jakob H. Macke A. Buonanno Bernhard Schölkopf BDL 102 58 0 11 Oct 2022
Conditional Independence Testing via Latent Representation Learning Bao Duong T. Nguyen BDL CML 95 7 0 04 Sep 2022
NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks Doyub Kim Minjae Lee Ken Museth 63 29 0 08 Aug 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 136 95 0 03 Aug 2022
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations Stephan J. Garbin Marek Kowalski V. Estellers Stanislaw Szymanowicz Shideh Rezaeifar Jingjing Shen Matthew W. Johnson Julien P. C. Valentin 3DH AI4CE 76 42 0 01 Aug 2022
Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation Qi Wu David Bauer Michael J. Doyle Kwan-Liu Ma 3DH 122 20 0 23 Jul 2022
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 100 26 0 17 Jul 2022
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization Han Huang Jiajia Yu Jie Chen Rongjie Lai AI4CE 68 18 0 30 Jun 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling Yu Cao Eric Vanden-Eijnden 68 3 0 20 Jun 2022
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 98 14 0 17 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 47 25 0 06 Jun 2022
Metappearance: Meta-Learning for Visual Appearance Reproduction Michael Fischer Tobias Ritschel 3DH 65 10 0 19 Apr 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 86 8 0 19 Mar 2022
Active Exploration for Neural Global Illumination of Variable Scenes Stavros Diolatzis Julien Philip G. Drettakis 3DV BDL 48 23 0 15 Mar 2022