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Faster Eigenvector Computation via Shift-and-Invert Preconditioning

Faster Eigenvector Computation via Shift-and-Invert Preconditioning

26 May 2016
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
ArXivPDFHTML

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

50 / 620 papers shown
Title
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
Hongkun Dou
Zeyu Li
Xingyu Jiang
H. Li
Lijun Yang
Wen Yao
Yue Deng
DiffM
38
0
0
12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
50
0
0
08 May 2025
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification
Zhihao Gong
Lian Wu
Yong Xu
41
0
0
06 May 2025
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
Elie Saad
Mariem Besbes
Marc Zolghadri
Victor Czmil
Claude Baron
Vincent Bourgeois
26
0
0
02 May 2025
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data
Maximilian Stupp
P. S. Koutsourelakis
40
0
0
29 Apr 2025
Score-Debiased Kernel Density Estimation
Score-Debiased Kernel Density Estimation
Elliot L. Epstein
Rajat Dwaraknath
Thanawat Sornwanee
John Winnicki
Jerry Weihong Liu
17
0
0
27 Apr 2025
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models
Jens Hooge
Gerard Sanroma-Guell
Faidra Stavropoulou
Alexander Ullmann
Gesine Knobloch
Mark Klemens
Carola Schmidt
Sabine Weckbach
Andreas Bolz
DiffM
MedIm
94
0
0
25 Apr 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee
Jinyoung Park
Jaewon Chu
Minseo Yoon
H. Kim
BDL
30
1
0
21 Apr 2025
Improving the evaluation of samplers on multi-modal targets
Improving the evaluation of samplers on multi-modal targets
Louis Grenioux
Maxence Noble
Marylou Gabrié
107
0
0
11 Apr 2025
Neural Parametric Mixtures for Path Guiding
Neural Parametric Mixtures for Path Guiding
Honghao Dong
Guoping Wang
Sheng Li
BDL
56
9
0
06 Apr 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae
Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRL
LRM
50
0
0
04 Apr 2025
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Zhidi Lin
Ying Li
Feng Yin
Juan Maroñas
Alexandre Thiéry
51
0
0
24 Mar 2025
Graphical Transformation Models
Graphical Transformation Models
Matthias Herp
Johannes Brachem
Michael Altenbuchinger
Thomas Kneib
41
0
0
22 Mar 2025
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction
Ziyu Lin
Yunfan Wu
Yuhang Ma
Junzhou Chen
Ronghui Zhang
Jiaming Wu
Guodong Yin
Liang Lin
53
0
0
18 Mar 2025
NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
Li Cui
Yang Ding
Richard Hartley
Zirui Xie
L. Kneip
Zhenghua Yu
41
0
0
14 Mar 2025
Spherical Tree-Sliced Wasserstein Distance
Spherical Tree-Sliced Wasserstein Distance
Hoang V. Tran
Thanh T. Chu
K. Nguyen
Trang Pham
Tam Le
T. Nguyen
OT
59
3
0
14 Mar 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information
Youngju Joung
Sehyun Lee
Jaesik Choi
AAML
45
1
0
12 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
85
2
0
04 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng
Yongxin Chen
Huayu Chen
Guande He
Ming-Yu Liu
J. Zhu
Qinsheng Zhang
DiffM
49
0
0
03 Mar 2025
A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation
A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation
Zhixin Lu
Łukasz Kuśmierz
Stefan Mihalas
65
0
0
24 Feb 2025
Towards Hierarchical Rectified Flow
Towards Hierarchical Rectified Flow
Yichi Zhang
Yici Yan
A. Schwing
Zhizhen Zhao
41
1
0
24 Feb 2025
A Neural Difference-of-Entropies Estimator for Mutual Information
A Neural Difference-of-Entropies Estimator for Mutual Information
Haoran Ni
Martin Lotz
SSL
DRL
89
0
0
18 Feb 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Elhabian
64
0
0
11 Feb 2025
An inpainting approach to manipulate asymmetry in pre-operative breast images
An inpainting approach to manipulate asymmetry in pre-operative breast images
Helena Montenegro
M. Cardoso
J. Cardoso
MedIm
47
0
0
08 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti
Pranava Singhal
Avishek Ghosh
Sunita Sarawagi
CML
78
0
0
07 Feb 2025
Trustworthy Evaluation of Generative AI Models
Trustworthy Evaluation of Generative AI Models
Zijun Gao
Yan Sun
104
0
0
31 Jan 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity
Shuailong Zhu
Xiaohui Chen
77
0
0
28 Jan 2025
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths
Yueyang Wang
Kejun Tang
Xili Wang
Xiaoliang Wan
Weiqing Ren
Chao Yang
40
0
0
28 Jan 2025
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration
Di You
P. Dragotti
DiffM
40
1
0
23 Jan 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong
Xiliang Yang
Sanguo Zhang
Zhijian He
116
2
0
17 Jan 2025
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
Andrzej Bedychaj
Jacek Tabor
Marek Śmieja
GAN
42
0
0
31 Dec 2024
Score-Based Metropolis-Hastings Algorithms
Score-Based Metropolis-Hastings Algorithms
Ahmed Aloui
Ali Hasan
Juncheng Dong
Zihao Wu
Vahid Tarokh
DiffM
34
0
0
31 Dec 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows
Expert-elicitation method for non-parametric joint priors using normalizing flows
F. Bockting
Stefan T. Radev
Paul-Christian Burkner
BDL
95
1
0
24 Nov 2024
DELTA: Dense Efficient Long-range 3D Tracking for any video
DELTA: Dense Efficient Long-range 3D Tracking for any video
Tuan Duc Ngo
Peiye Zhuang
Chuang Gan
E. Kalogerakis
Sergey Tulyakov
Hsin-Ying Lee
Chaoyang Wang
43
5
0
31 Oct 2024
Full-waveform earthquake source inversion using simulation-based inference
Full-waveform earthquake source inversion using simulation-based inference
A. A. Saoulis
Davide Piras
A. Spurio Mancini
B. Joachimi
A. M. G. Ferreira
35
0
0
30 Oct 2024
Analyzing Generative Models by Manifold Entropic Metrics
Analyzing Generative Models by Manifold Entropic Metrics
Daniel Galperin
Ullrich Köthe
DRL
16
0
0
25 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
Stefan Wahl
Armand Rousselot
Felix Dräxler
Ullrich Kothe
Ullrich Köthe
24
0
0
25 Oct 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Sandeep Nagar
Girish Varma
TPM
24
0
0
18 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence
Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He
Wenlin Chen
Mingtian Zhang
David Barber
José Miguel Hernández-Lobato
DiffM
37
4
0
16 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Martin
Anne Gagneux
Paul Hagemann
Gabriele Steidl
42
9
0
03 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
34
1
0
03 Oct 2024
Tracking Everything in Robotic-Assisted Surgery
Tracking Everything in Robotic-Assisted Surgery
Bohan Zhan
Wang Zhao
Yi Fang
Bo Du
Francisco Vasconcelos
Danail Stoyanov
Daniel Elson
Baoru Huang
51
3
0
29 Sep 2024
Simulation-based inference with the Python Package sbijax
Simulation-based inference with the Python Package sbijax
Simon Dirmeier
S. Ulzega
Antonietta Mira
Carlo Albert
29
1
0
28 Sep 2024
MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse
  Input Views
MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views
Wangze Xu
Huachen Gao
Shihe Shen
Rui Peng
Jianbo Jiao
Ronggang Wang
3DGS
23
8
0
22 Sep 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive
  and Exclusive Communities
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
Daniel Zilberg
Ron Levie
31
0
0
18 Sep 2024
INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
Soumitra Kundu
Gargi Panda
Saumik Bhattacharya
Aurobinda Routray
Rajlakshmi Guha
39
0
0
13 Sep 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
Alex Glyn-Davies
A. Vadeboncoeur
O. Deniz Akyildiz
Ieva Kazlauskaite
Mark Girolami
PINN
67
0
0
10 Sep 2024
JacNet: Learning Functions with Structured Jacobians
JacNet: Learning Functions with Structured Jacobians
Jonathan Lorraine
Safwan Hossain
40
6
0
23 Aug 2024
Hear Your Face: Face-based voice conversion with F0 estimation
Hear Your Face: Face-based voice conversion with F0 estimation
Jaejun Lee
Yoori Oh
Injune Hwang
Kyogu Lee
CVBM
21
1
0
19 Aug 2024
Flow to Rare Events: An Application of Normalizing Flow in Temporal
  Importance Sampling for Automated Vehicle Validation
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation
Yichun Ye
He Zhang
Ye Tian
Jian-jun Sun
36
0
0
10 Jul 2024
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