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
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 34 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 41 0 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 28 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 27 0 0 21 Mar 2023
Training Invertible Neural Networks as Autoencoders The-Gia Leo Nguyen Lynton Ardizzone Ullrich Kothe BDL DRL SSL 27 9 0 20 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 29 506 0 07 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 35 59 0 05 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 24 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 24 28 0 03 Mar 2023
Eryn : A multi-purpose sampler for Bayesian inference N. Karnesis Michael L. Katz N. Korsakova J. Gair N. Stergioulas 19 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 17 6 0 27 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 30 5 0 23 Feb 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 31 19 0 20 Feb 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 20 0 0 19 Feb 2023
Invertible Neural Skinning Yash Kant Aliaksandr Siarohin R. A. Guler Menglei Chai Jian Ren Sergey Tulyakov Igor Gilitschenski 3DH 22 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 20 3 0 03 Feb 2023
Self-Consistent Velocity Matching of Probability Flows Lingxiao Li Samuel Hurault Justin Solomon 27 11 0 31 Jan 2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond Wenchao Du Hu Chen Yan Zhang H. Yang 23 1 0 31 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 53 11 0 29 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 19 2 0 27 Jan 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 35 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 25 2 0 23 Jan 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 26 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
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 26 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
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 25 5 0 29 Dec 2022
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation Shiyu Wang Fan Zhou Yinbo Sun Lintao Ma James Y. Zhang Yang Zheng BDL AI4TS 25 8 0 28 Dec 2022
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 29 2 0 23 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 18 7 0 22 Dec 2022
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 30 3 0 19 Dec 2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving Jonathan M Francis Bingqing Chen Weiran Yao Eric Nyberg Jean Oh OOD 26 5 0 16 Dec 2022
Controllable Text Generation via Probability Density Estimation in the Latent Space Yuxuan Gu Xiaocheng Feng Sicheng Ma Lingyuan Zhang Heng Gong Weihong Zhong Bing Qin 21 18 0 16 Dec 2022
Memories are One-to-Many Mapping Alleviators in Talking Face Generation Anni Tang Tianyu He Xuejiao Tan Jun Ling Liang Song CVBM 26 23 0 09 Dec 2022
Deep Variational Inverse Scattering AmirEhsan Khorashadizadeh A. Aghababaei Tin Vlavsić Hieu Nguyen Ivan Dokmanić BDL UQCV 35 3 0 08 Dec 2022
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars Thanh-Dat Truong Pierce Helton A. Moustafa J. Cothren Khoa Luu CLL 50 7 0 01 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 27 0 0 01 Dec 2022
GrannGAN: Graph annotation generative adversarial networks Yoann Boget Magda Gregorova Alexandros Kalousis GAN 15 0 0 01 Dec 2022
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 33 4 0 30 Nov 2022
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline Paul-Gauthier Noé Xiaoxiao Miao Xin Wang Junichi Yamagishi J. Bonastre D. Matrouf 13 7 0 29 Nov 2022