Faster Eigenvector Computation via Shift-and-Invert Preconditioning

26 May 2016

Dan Garber

Laurent Dinh

Chi Jin

Jascha Narain Sohl-Dickstein

Papers citing "Faster Eigenvector Computation via Shift-and-Invert Preconditioning"

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Title
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation Jian Qian Miao Sun Sifan Zhou Biao Wan Minhao Li Patrick Chiang 33 7 0 05 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 42 1 0 04 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 57 0 0 02 Jul 2024
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis Subin Varghese Vedhus Hoskere 38 0 0 26 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 76 31 0 17 Jun 2024
VECL-TTS: Voice identity and Emotional style controllable Cross-Lingual Text-to-Speech Ashishkumar Gudmalwar Nirmesh Shah Sai Akarsh Pankaj Wasnik R. Shah 32 1 0 12 Jun 2024
A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion Xiaoli Zhang Liying Wang Libo Zhao Xiongfei Li Siwei Ma 42 0 0 11 Jun 2024
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization Takuhiro Kaneko 38 2 0 06 Jun 2024
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection Ruituo Wu Yang Chen Jian Xiao Bing Li Jicong Fan Frédéric Dufaux Ce Zhu Yipeng Liu 29 0 0 05 Jun 2024
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models Bálint Máté François Fleuret Tristan Bereau DiffM 40 2 0 04 Jun 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 30 6 0 30 May 2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 41 0 0 30 May 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 43 2 0 27 May 2024
Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion Prior Ce Wang Wanjie Sun DiffM 41 4 0 11 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 48 0 0 10 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 36 3 0 29 Apr 2024
PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks Zirui Zang Ahmad Amine Rahul Mangharam 35 0 0 20 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 54 5 0 08 Apr 2024
Mixture of Low-rank Experts for Transferable AI-Generated Image Detection Zihan Liu Hanyi Wang Yaoyu Kang Shilin Wang MoE 38 12 0 07 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators Shenghai Yuan Jinfa Huang Yujun Shi Yongqi Xu Ruijie Zhu Bin Lin Xinhua Cheng Li-xin Yuan Jiebo Luo VGen 78 33 0 07 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated Images Sho Inayoshi Aji Resindra Widya Satoshi Ozaki Junji Otsuka Takeshi Ohashi 3DH 44 1 0 04 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 30 19 0 30 Mar 2024
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation Owen Oertell Jonathan D. Chang Yiyi Zhang Kianté Brantley Wen Sun EGVM 38 4 0 25 Mar 2024
Adaptive LPD Radar Waveform Design with Generative Deep Learning Matthew R. Ziemann Christopher A. Metzler 24 0 0 18 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 37 0 0 06 Mar 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 37 2 0 05 Mar 2024
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 43 1 0 26 Feb 2024
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction Jiahe Chen Jinkun Cao Dahua Lin Kris M. Kitani Jiangmiao Pang 38 5 0 19 Feb 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems Da Long Zhitong Xu Qiwei Yuan Yin Yang Shandian Zhe AI4CE 69 5 0 18 Feb 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin Noam Elata T. Michaeli DiffM 40 1 0 15 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 35 0 0 09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 37 41 0 09 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 66 17 0 07 Feb 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 29 5 0 02 Feb 2024
Spatial-Aware Latent Initialization for Controllable Image Generation Wenqiang Sun Tengtao Li Zehong Lin Jun Zhang 39 10 0 29 Jan 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang Xiaoyu Chen YongQiang Li Jianyu Chen 24 2 0 22 Jan 2024
Combining Normalizing Flows and Quasi-Monte Carlo Charly Andral BDL 29 1 0 11 Jan 2024
Accent-VITS:accent transfer for end-to-end TTS Linhan Ma Yongmao Zhang Xinfa Zhu Yinjiao Lei Ziqian Ning Pengcheng Zhu Lei Xie 27 7 0 28 Dec 2023
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 24 6 0 27 Dec 2023
InvertibleNetworks.jl: A Julia package for scalable normalizing flows Rafael Orozco Philipp A. Witte M. Louboutin Ali Siahkoohi G. Rizzuti B. Peters Felix J. Herrmann 30 9 0 20 Dec 2023
Relightable and Animatable Neural Avatars from Videos Wenbin Lin Chengwei Zheng Jun-hai Yong Feng Xu 26 11 0 20 Dec 2023
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 19 10 0 17 Dec 2023
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan V. Oseledets Yipeng Liu 28 1 0 13 Dec 2023
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows Hannes Hilger D. Witthaut Manuel Dahmen L. R. Gorjão Julius Trebbien Eike Cramer 23 5 0 23 Nov 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 26 0 0 23 Nov 2023
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model Kai Yang Jian Tao Jiafei Lyu Chunjiang Ge Jiaxin Chen Qimai Li Weihan Shen Xiaolong Zhu Xiu Li EGVM 19 89 0 22 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 29 4 0 13 Nov 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 16 1 0 09 Nov 2023
The voraus-AD Dataset for Anomaly Detection in Robot Applications Jan Thiess Brockmann Marco Rudolph Bodo Rosenhahn Bastian Wandt 23 11 0 08 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 27 1 0 08 Nov 2023