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Neural Importance Sampling

11 August 2018

Markus Gross

Papers citing "Neural Importance Sampling"

50 / 185 papers shown

Title
Rethinking Losses for Diffusion Bridge Samplers Sebastian Sanokowski Lukas Gruber Christoph Bartmann Sepp Hochreiter Sebastian Lehner DiffM 120 0 0 12 Jun 2025
GATE: Geometry-Aware Trained Encoding Jakub Bokšanský Daniel Meister Carsten Benthin 3DH AI4CE 13 0 0 09 Jun 2025
Neural Visibility Cache for Real-Time Light Sampling Jakub Bokšanský Daniel Meister 3DH 54 0 0 06 Jun 2025
Neural Path Guiding with Distribution Factorization Pedro Figueiredo Qihao He Nima Khademi Kalantari OOD 29 0 0 01 Jun 2025
Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Chenguang Wang Xiaoyu Zhang Kaiyuan Cui Weichen Zhao Yongtao Guan Tianshu Yu DiffM 102 0 0 26 May 2025
Neural Importance Sampling of Many Lights Pedro Figueiredo Qihao He Steve Bako Nima Khademi Kalantari 43 1 0 16 May 2025
Training neural control variates using correlated configurations Hyunwoo Oh BDL 96 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 110 0 0 07 May 2025
LSNIF: Locally-Subdivided Neural Intersection Function S. Fujieda Chih-Chen Kao Takahiro Harada 50 0 0 30 Apr 2025
Improving the evaluation of samplers on multi-modal targets Louis Grenioux Maxence Noble Marylou Gabrié 454 0 0 11 Apr 2025
Neural Parametric Mixtures for Path Guiding Honghao Dong Guoping Wang Sheng Li BDL 130 12 0 06 Apr 2025
Hypothesis Testing for Progressive Kernel Estimation and VCM Framework Zehui Lin Chenxiao Hu Jinzhu Jia Sheng Li 61 1 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 148 0 0 04 Apr 2025
Integral regularization PINNs for evolution equations Xiaodong Feng Haojiong Shangguan Tao Tang Xiaoliang Wan PINN 114 0 0 31 Mar 2025
HS-SLAM: Hybrid Representation with Structural Supervision for Improved Dense SLAM Ziren Gong Fabio Tosi Youmin Zhang S. Mattoccia Matteo Poggi 98 0 0 27 Mar 2025
End-to-End Optimal Detector Design with Mutual Information Surrogates K. Wozniak Stephen Mulligan J. Kieseler Markus Klute Francois Fleuret Tobias Golling 100 1 0 18 Mar 2025
RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping Hongrui Zhao Boris Ivanovic Negar Mehr 155 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 129 3 0 09 Jan 2025
DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction Ange Lou Benjamin Planche Zhongpai Gao Yamin Li Tianyu Luan Hao Ding Meng Zheng Terrence Chen Ziyan Wu Jack H. Noble 66 2 0 18 Oct 2024
Deep image-based Adaptive BRDF Measure Wen Cao 58 0 0 03 Oct 2024
Active Neural Mapping at Scale Zijia Kuang Zike Yan Hao Zhao Guyue Zhou Hongbin Zha 68 4 0 30 Sep 2024
Knowledge Graph Embedding by Normalizing Flows Changyi Xiao Xiangnan He Yixin Cao 51 4 0 30 Sep 2024
Learning Two-factor Representation for Magnetic Resonance Image Super-resolution Weifeng Wei Heng Chen Pengxiang Su SupR 63 0 0 15 Sep 2024
Neural Product Importance Sampling via Warp Composition Joey Litalien Jian Yang Fujun Luan Krishna Mullia Iliyan Georgiev 63 1 0 12 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 67 3 0 09 Sep 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 233 1 0 22 Jul 2024
Predicting 3D Rigid Body Dynamics with Deep Residual Network Abiodun Finbarrs Oketunji PINN AI4CE 70 0 0 09 Jul 2024
Feynman-Kac Operator Expectation Estimator Jingyuan Li Wei Liu 81 0 0 02 Jul 2024
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization Sebastian Sanokowski Sepp Hochreiter Sebastian Lehner 109 23 0 03 Jun 2024
NeB-SLAM: Neural Blocks-based Salable RGB-D SLAM for Unknown Scenes Lizhi Bai Chunqi Tian Jun Yang Siyu Zhang Weijian Liang 61 1 0 24 May 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao Chien Feng Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee 79 5 0 22 May 2024
Path Guiding for Wavefront Path Tracing: A Memory Efficient Approach for GPU Path Tracers B. Yalçiner A. Akyüz 31 1 0 11 May 2024
Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration Leonard Bruns Jun Zhang Patric Jensfelt AI4CE 115 3 0 06 May 2024
Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models Ezra Erives Bowen Jing Tommi Jaakkola 97 1 0 05 May 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 60 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 125 6 0 10 Apr 2024
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch Caio C. Daumann M. Donega Johannes Erdmann M. Galli Jan Lukas Späh D. Valsecchi AI4CE 36 0 0 27 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression Victor Dheur Souhaib Ben Taieb 187 4 0 18 Mar 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 123 9 0 18 Mar 2024
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations Craig Innes S. Ramamoorthy 63 0 0 13 Mar 2024
Online Photon Guiding with 3D Gaussians for Caustics Rendering Jiawei Huang Hajime Tanaka Taku Komura Y. Kitamura 3DGS 32 1 0 06 Mar 2024
NARUTO: Neural Active Reconstruction from Uncertain Target Observations Ziyue Feng Huangying Zhan Zheng Chen Qingan Yan Xiangyu Xu Changjiang Cai Bing Li Qilun Zhu Yi Tian Xu AI4CE 126 16 0 29 Feb 2024
Feynman Diagrams as Computational Graphs Pengcheng Hou Tao Wang Daniel Cerkoney X-D Cai Zhiyi Li Youjin Deng Lei Wang Kun Chen AI4CE 39 1 0 28 Feb 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 205 63 0 20 Feb 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe A. Davydov Deniz Lapsekili Ambuj K. Singh Francesco Bullo 72 2 0 12 Feb 2024
Combining Normalizing Flows and Quasi-Monte Carlo Charly Andral BDL 57 1 0 11 Jan 2024
Transformer Neural Autoregressive Flows Massimiliano Patacchiola Aliaksandra Shysheya Katja Hofmann Richard Turner TPM 36 3 0 03 Jan 2024
Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane Chen Yang Kai Wang Yuehao Wang Qi Dou Xiaokang Yang Wei Shen 81 16 0 23 Dec 2023
LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces Yingji Zhang Danilo S. Carvalho Ian Pratt-Hartmann André Freitas VLM 75 2 0 20 Dec 2023
nbi: the Astronomer's Package for Neural Posterior Estimation Keming 名 Zhang 张可 Joshua S. Bloom Stéfan van der Walt N. Hernitschek 38 3 0 06 Dec 2023