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"

50 / 746 papers shown

Title
Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg Daniel Freedman 27 0 0 13 Apr 2023
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design Zaixin Zhang Qi Liu Cheekong Lee Chang-Yu Hsieh Enhong Chen 19 18 0 12 Apr 2023
Learned multiphysics inversion with differentiable programming and machine learning M. Louboutin Ziyi Yin Rafael Orozco Thomas J. Grady Ali Siahkoohi G. Rizzuti Philipp A. Witte O. Møyner Gerard Gorman Felix J. Herrmann AI4CE 26 10 0 12 Apr 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine Bouman 29 5 0 12 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 32 1 0 07 Apr 2023
Ensemble weather forecast post-processing with a flexible probabilistic neural network approach P. Mlakar J. Merse Jana Faganeli Pucer 17 4 0 29 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 55 225 0 28 Mar 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 37 7 0 26 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 26 1 0 24 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 31 7 0 23 Mar 2023
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images Y. Jeon Youngtack Oh Doyoung Jeong Hyunguk Choi Junsik Kim 30 0 0 21 Mar 2023
Training Invertible Neural Networks as Autoencoders The-Gia Leo Nguyen Lynton Ardizzone Ullrich Kothe BDL DRL SSL 30 9 0 20 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation David Berthelot Arnaud Autef Jierui Lin Dian Ang Yap Shuangfei Zhai Siyuan Hu Daniel Zheng Walter Talbot Eric Gu DiffM 28 80 0 07 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 29 507 0 07 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 43 59 0 05 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 26 4 0 04 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 29 28 0 03 Mar 2023
Eryn : A multi-purpose sampler for Bayesian inference N. Karnesis Michael L. Katz N. Korsakova J. Gair N. Stergioulas 21 28 0 03 Mar 2023
ASP: Learn a Universal Neural Solver! Chenguang Wang Zhouliang Yu Stephen Marcus McAleer Tianshu Yu Yao-Chun Yang AAML 32 24 0 01 Mar 2023
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow Yoonhyung Lee Jinhyeok Yang Kyomin Jung 20 6 0 27 Feb 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 16 9 0 24 Feb 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow Fangce Sun Zhihao Zhan Hongyu Guo Ming Zhang Jian Tang 26 6 0 23 Feb 2023
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests A. Coccaro Marco Letizia H. Reyes-González Riccardo Torre OOD 37 5 0 23 Feb 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 34 19 0 20 Feb 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 26 0 0 19 Feb 2023
Invertible Neural Skinning Yash Kant Aliaksandr Siarohin R. A. Guler Menglei Chai Jian Ren Sergey Tulyakov Igor Gilitschenski 3DH 30 2 0 18 Feb 2023
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs Seunghyeon Seo D. Han Yeonjin Chang Nojun Kwak 23 45 0 17 Feb 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley OODD OOD 23 12 0 17 Feb 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 23 3 0 10 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 23 3 0 03 Feb 2023
A latent space for unsupervised MR image quality control via artifact assessment Lianrui Zuo Yuan Xue Blake E Dewey Yihao Liu Jerry L. Prince A. Carass 27 3 0 01 Feb 2023
Self-Consistent Velocity Matching of Probability Flows Lingxiao Li Samuel Hurault Justin Solomon 32 12 0 31 Jan 2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond Wenchao Du Hu Chen Yan Zhang H. Yang 34 1 0 31 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Anton van den Hengel AI4CE 55 11 0 29 Jan 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 32 7 0 28 Jan 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming Tianqi Cui Tom S. Bertalan George J. Pappas M. Morari Ioannis G. Kevrekidis Mahyar Fazlyab AAML 27 2 0 27 Jan 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 39 27 0 26 Jan 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 24 7 0 23 Jan 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 27 2 0 23 Jan 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 34 7 0 21 Jan 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 31 0 0 20 Jan 2023
Laser: Latent Set Representations for 3D Generative Modeling Pol Moreno Adam R. Kosiorek Heiko Strathmann Daniel Zoran Rosália G. Schneider Bjorn Winckler L. Markeeva T. Weber Danilo Jimenez Rezende BDL 3DV DRL 35 5 0 13 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 28 1 0 11 Jan 2023
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks Héctor J. Hortúa L. '. García Leonardo Castañeda C. BDL 24 4 0 09 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 18 7 0 08 Jan 2023
L-HYDRA: Multi-Head Physics-Informed Neural Networks Zongren Zou George Karniadakis AI4CE 18 26 0 05 Jan 2023
Improving Visual Representation Learning through Perceptual Understanding Samyakh Tukra Frederick Hoffman Ken Chatfield 27 5 0 30 Dec 2022
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 28 5 0 29 Dec 2022