Neural Importance Sampling

11 August 2018

Markus Gross

Papers citing "Neural Importance Sampling"

50 / 80 papers shown

Title
Neural Importance Sampling of Many Lights Pedro Figueiredo Qihao He Steve Bako Nima Khademi Kalantari 14 0 0 16 May 2025
Training neural control variates using correlated configurations Hyunwoo Oh BDL 46 0 0 12 May 2025
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning Simo Alami C. Rim Kaddah Jesse Read Marie-Paule Cani 51 0 0 07 May 2025
Improving the evaluation of samplers on multi-modal targets Louis Grenioux Maxence Noble Marylou Gabrié 200 0 0 11 Apr 2025
Hypothesis Testing for Progressive Kernel Estimation and VCM Framework Zehui Lin Chenxiao Hu Jinzhu Jia Sheng Li 24 1 0 06 Apr 2025
Neural Parametric Mixtures for Path Guiding Honghao Dong Guoping Wang Sheng Li BDL 67 10 0 06 Apr 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 58 4 0 04 Apr 2025
RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping Hongrui Zhao Boris Ivanovic Negar Mehr 98 0 0 26 Feb 2025
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Gert Aarts Kenji Fukushima Tetsuo Hatsuda Andreas Ipp S. Shi Lei Wang K. Zhou AI4CE PINN 56 2 0 09 Jan 2025
Active Neural Mapping at Scale Zijia Kuang Zike Yan Hao Zhao Guyue Zhou Hongbin Zha 30 3 0 30 Sep 2024
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering Benjamin Attal Dor Verbin B. Mildenhall Peter Hedman Jonathan T. Barron Matthew O'Toole Pratul P. Srinivasan 44 2 0 09 Sep 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 58 0 0 22 Jul 2024
Neural Graph Mapping for Dense SLAM with Efficient Loop Closure Leonard Bruns Jun Zhang Patric Jensfelt AI4CE 52 2 0 06 May 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 41 1 0 29 Apr 2024
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation Muer Tie Julong Wei Zhengjun Wang Ke Wu Shansuai Yuan Kaizhao Zhang Jie Jia Jieru Zhao Zhongxue Gan Wenchao Ding 40 7 0 10 Apr 2024
DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding Wenhua Wu Guangming Wang Ting Deng Sebastian Aegidius Stuart Shanks Valerio Modugno Dimitrios Kanoulas Hesheng Wang 42 7 0 18 Mar 2024
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey Fabio Tosi Youming Zhang Ziren Gong Erik Sandström S. Mattoccia Martin R. Oswald Matteo Poggi 3DGS 86 57 0 20 Feb 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe A. Davydov Deniz Lapsekili Ambuj K. Singh Francesco Bullo 40 2 0 12 Feb 2024
Combining Normalizing Flows and Quasi-Monte Carlo Charly Andral BDL 37 1 0 11 Jan 2024
nbi: the Astronomer's Package for Neural Posterior Estimation Keming 名 Zhang 张可 Joshua S. Bloom Stéfan van der Walt N. Hernitschek 24 3 0 06 Dec 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 39 41 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 13 4 0 24 Sep 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 34 6 0 04 Aug 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 32 9 0 12 Jul 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 26 2 0 01 Jun 2023
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination David Bauer Qi Wu Kwan-Liu Ma 23 1 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 39 14 0 09 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 40 1 0 07 Apr 2023
Example-Based Sampling with Diffusion Models Bastien Doignies Nicolas Bonneel D. Coeurjolly Julie Digne L. Paulin J. Iehl V. Ostromoukhov DiffM 30 0 0 10 Feb 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 46 27 0 26 Jan 2023
Adaptive Dynamic Global Illumination S. Datta Negar Goli Jerry Zhang 13 0 0 12 Jan 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 43 7 0 08 Dec 2022
Fast Non-Rigid Radiance Fields from Monocularized Data Moritz Kappel Vladislav Golyanik Susana Castillo Christian Theobalt M. Magnor 3DH 26 5 0 02 Dec 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 41 7 0 25 Oct 2022
Conditional Independence Testing via Latent Representation Learning Bao Duong T. Nguyen BDL CML 31 6 0 04 Sep 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 38 77 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 38 41 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 47 19 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 61 24 0 17 Jul 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling Yu Cao Eric Vanden-Eijnden 21 3 0 20 Jun 2022
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 27 13 0 17 Jun 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 37 7 0 19 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 18 157 0 10 Mar 2022
Tracking and Planning with Spatial World Models Baris Kayalibay Atanas Mirchev Patrick van der Smagt Justin Bayer 46 2 0 25 Jan 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 102 3,883 0 16 Jan 2022
Global convergence of optimized adaptive importance samplers Ömer Deniz Akyildiz 34 7 0 02 Jan 2022
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows M. Hassanaly Bruce A. Perry M. Mueller S. Yellapantula 40 5 0 28 Dec 2021
Solving time dependent Fokker-Planck equations via temporal normalizing flow Xiaodong Feng Li Zeng Tao Zhou AI4CE 36 25 0 28 Dec 2021
Path Guiding Using Spatio-Directional Mixture Models Ana Dodik Marios Papas Cengiz Öztireli Thomas Müller 11 16 0 25 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 30 22 0 24 Nov 2021