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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
ArXiv (abs)PDFHTML

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

50 / 2,354 papers shown
Flow Matching for Efficient and Scalable Data Assimilation
Flow Matching for Efficient and Scalable Data Assimilation
Taos Transue
Bohan Chen
So Takao
Bao Wang
204
0
0
18 Aug 2025
From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective
From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective
Tianhua Chen
BDL
76
0
0
18 Aug 2025
Reverse Convolution and Its Applications to Image Restoration
Reverse Convolution and Its Applications to Image Restoration
Xuhong Huang
Shiqi Liu
Kai Zhang
Ying Tai
Jian Yang
Hui Zeng
Lei Zhang
180
1
0
13 Aug 2025
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Thanh-Dat Truong
Christophe Bobda
Nitin Agarwal
Khoa Luu
259
1
0
13 Aug 2025
CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
Zhipeng Yuan
Kai Wang
Weize Quan
Dong-ming Yan
Tieru Wu
116
1
0
13 Aug 2025
Learning Robust Satellite Attitude Dynamics with Physics-Informed Normalising Flow
Learning Robust Satellite Attitude Dynamics with Physics-Informed Normalising Flow
Carlo Cena
Mauro Martini
Marcello Chiaberge
PINN
175
0
0
11 Aug 2025
How and Why: Taming Flow Matching for Unsupervised Anomaly Detection and Localization
How and Why: Taming Flow Matching for Unsupervised Anomaly Detection and Localization
Liangwei Li
Lin Liu
Juanxiu Liu
Jing Zhang
Ruqian Hao
Xiaohui Du
112
0
0
07 Aug 2025
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
Yutong Xia
Yingying Zhang
Yuxuan Liang
Lunting Fan
Qingsong Wen
Roger Zimmermann
AI4TS
172
1
0
06 Aug 2025
RadProPoser: A Framework for Human Pose Estimation with Uncertainty Quantification from Raw Radar Data
RadProPoser: A Framework for Human Pose Estimation with Uncertainty Quantification from Raw Radar Data
Jonas Leo Mueller
Lukas Engel
Eva Dorschky
Daniel Krauss
Ingrid Ullmann
Martin Vossiek
Bjoern M. Eskofier
174
1
0
05 Aug 2025
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
Pingchuan Ma
Xiaopei Yang
Yusong Li
Ming Gui
Felix Krause
Johannes Schusterbauer
Bjorn Ommer
DRL
243
1
0
05 Aug 2025
Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference
Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference
Joshua R. Tempelman
Kevin Mitchell
Adam J. Wachtor
Eric B. Flynn
105
0
0
05 Aug 2025
Diffusion models for inverse problems
Diffusion models for inverse problems
Hyungjin Chung
Jeongsol Kim
Jong Chul Ye
MedIm
173
0
0
04 Aug 2025
Tackling Ill-posedness of Reversible Image Conversion with Well-posed Invertible Network
Tackling Ill-posedness of Reversible Image Conversion with Well-posed Invertible Network
Yuanfei Huang
Hua Huang
129
0
0
04 Aug 2025
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
Enrique Valero-Leal
P. Larrañaga
C. Bielza
158
0
0
04 Aug 2025
DELTAv2: Accelerating Dense 3D Tracking
DELTAv2: Accelerating Dense 3D Tracking
Tuan Duc Ngo
Ashkan Mirzaei
Guocheng Qian
Hanwen Liang
Chuang Gan
E. Kalogerakis
Peter Wonka
Chaoyang Wang
186
0
0
02 Aug 2025
PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA
PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA
Baisong Li
Xingwang Wang
Haixiao Xu
141
0
0
01 Aug 2025
Learning Neural Vocoder from Range-Null Space Decomposition
Learning Neural Vocoder from Range-Null Space DecompositionInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Andong Li
Tong Lei
Zhihang Sun
Rilin Chen
Erwei Yin
Xiaodong Li
C. Zheng
161
2
0
28 Jul 2025
A Comprehensive Review of Diffusion Models in Smart Agriculture: Progress, Applications, and Challenges
A Comprehensive Review of Diffusion Models in Smart Agriculture: Progress, Applications, and Challenges
Xing Hua
Haodong Chen
Qianqian Duan
Danfeng Hong
Ruijiao Li
Huiliang Shang
MedIm
425
2
0
24 Jul 2025
Flow Stochastic Segmentation Networks
Flow Stochastic Segmentation Networks
Fabio De Sousa Ribeiro
Omar Todd
Charles Jones
Avinash Kori
Raghav Mehta
Ben Glocker
226
0
0
24 Jul 2025
The surprising strength of weak classifiers for validating neural posterior estimates
The surprising strength of weak classifiers for validating neural posterior estimates
Vansh Bansal
Tianyu Chen
James G. Scott
AAML
179
1
0
22 Jul 2025
Sparse-View 3D Reconstruction: Recent Advances and Open Challenges
Sparse-View 3D Reconstruction: Recent Advances and Open Challenges
Tanveer Younis
Zhanglin Cheng
3DGS
201
1
0
22 Jul 2025
Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible Networks
Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible NetworksIEEE International Conference on Robotics and Automation (ICRA), 2025
Yue Ma
Kanglei Zhou
Fuyang Yu
Frederick W. B. Li
Xiaohui Liang
3DH
116
1
0
19 Jul 2025
VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval
VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval
Huayuan Ye
Juntong Chen
Shenzhuo Zhang
Yipeng Zhang
Changbo Wang
Chenhui Li
165
1
0
19 Jul 2025
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis
Bo-Hua Liang
He Wang
291
2
0
15 Jul 2025
Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
Hayeon Kim
Ji Ha Jang
Se Young Chun
3DGS
311
2
0
15 Jul 2025
Towards Imperceptible JPEG Image Hiding: Multi-range Representations-driven Adversarial Stego Generation
Towards Imperceptible JPEG Image Hiding: Multi-range Representations-driven Adversarial Stego Generation
Junxue Yang
Xin Liao
Weixuan Tang
Jianhua Yang
Zheng Qin
AAML
145
0
0
11 Jul 2025
Scaling can lead to compositional generalization
Scaling can lead to compositional generalization
Florian Redhardt
Yassir Akram
Simon Schug
GNNCoGe
204
0
0
09 Jul 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
456
7
0
01 Jul 2025
Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling
Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling
Erkan Turan
Aristotelis Siozopoulos
Louis Martinez
Julien Gaubil
E. Pierson
M. Ovsjanikov
160
1
0
27 Jun 2025
On Convolutions, Intrinsic Dimension, and Diffusion Models
On Convolutions, Intrinsic Dimension, and Diffusion Models
Kin Kwan Leung
Rasa Hosseinzadeh
Gabriel Loaiza-Ganem
DiffM
176
0
0
25 Jun 2025
Deep generative models as the probability transformation functions
Deep generative models as the probability transformation functions
Vitalii Bondar
Vira Babenko
Roman Trembovetskyi
Yurii Korobeinyk
Viktoriya Dzyuba
197
1
0
20 Jun 2025
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior
Liangyan Li
Yimo Ning
Kevin Le
Wei Dong
Yunzhe Li
Jun Chen
Xiaohong Liu
229
0
0
19 Jun 2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
Andrew Wagenmaker
Mitsuhiko Nakamoto
Yunchu Zhang
S. Park
Waleed Yagoub
Anusha Nagabandi
Abhishek Gupta
Sergey Levine
OffRL
318
25
0
18 Jun 2025
A Variational Framework for Improving Naturalness in Generative Spoken Language Models
A Variational Framework for Improving Naturalness in Generative Spoken Language Models
Li-Wei Chen
Takuya Higuchi
Zakaria Aldeneh
Ahmed Hussen Abdelaziz
Alexander I. Rudnicky
188
2
0
17 Jun 2025
Variational Inference with Mixtures of Isotropic Gaussians
Variational Inference with Mixtures of Isotropic Gaussians
Marguerite Petit-Talamon
Marc Lambert
Anna Korba
BDL
372
0
0
16 Jun 2025
LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations
LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations
Lorenzo Bini
Stéphane Marchand-Maillet
DiffM
140
0
0
16 Jun 2025
Scaling Probabilistic Circuits via Monarch Matrices
Scaling Probabilistic Circuits via Monarch Matrices
Honghua Zhang
Meihua Dang
Benjie Wang
Stefano Ermon
Nanyun Peng
Karen Ullrich
TPMMoE
279
6
0
14 Jun 2025
On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions
On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions
Chloe H. Choi
Andrea Zanoni
Daniele E. Schiavazzi
Alison L. Marsden
100
2
0
13 Jun 2025
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images
Suman Mahapatra
Pradipta Maji
MedIm
148
0
0
08 Jun 2025
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Jiatao Gu
Tianrong Chen
David Berthelot
Huangjie Zheng
Yuyang Wang
Ruixiang Zhang
Laurent Dinh
Miguel Angel Bautista
Josh Susskind
Shuangfei Zhai
245
13
0
06 Jun 2025
Learning normalized image densities via dual score matching
Learning normalized image densities via dual score matching
Florentin Guth
Zahra Kadkhodaie
Eero P. Simoncelli
DiffM
313
8
0
05 Jun 2025
Revisiting Unbiased Implicit Variational Inference
Revisiting Unbiased Implicit Variational Inference
Tobias Pielok
Bernd Bischl
David Rügamer
BDL
229
0
0
04 Jun 2025
ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration
ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration
Cheng Yang
Lijing Liang
Zhixun Su
Mamba
202
1
0
03 Jun 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright ProtectionConference on Uncertainty in Artificial Intelligence (UAI), 2025
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
WIGMAAML
301
0
0
03 Jun 2025
Asymptotically exact variational flows via involutive MCMC kernels
Asymptotically exact variational flows via involutive MCMC kernels
Zuheng Xu
Trevor Campbell
236
1
0
02 Jun 2025
Temporal Causal-based Simulation for Realistic Time-series Generation
Temporal Causal-based Simulation for Realistic Time-series Generation
Nikolaos Gkorgkolis
Nikolaos Kougioulis
Mingxue Wang
Bora Caglayan
Andrea Tonon
Dario Simionato
Ioannis Tsamardinos
CML
216
1
0
02 Jun 2025
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Danyal Rehman
Oscar Davis
Jiarui Lu
Jian Tang
M. Bronstein
Yoshua Bengio
Alexander Tong
A. Bose
OOD
219
0
0
01 Jun 2025
Flexible Selective Inference with Flow-based Transport Maps
Flexible Selective Inference with Flow-based Transport Maps
Sifan Liu
Snigdha Panigrahi
193
0
0
01 Jun 2025
Neural Path Guiding with Distribution Factorization
Neural Path Guiding with Distribution Factorization
Pedro Figueiredo
Qihao He
Nima Khademi Kalantari
OOD
176
0
0
01 Jun 2025
Learning geometry and topology via multi-chart flows
Learning geometry and topology via multi-chart flows
Hanlin Yu
Søren Hauberg
Marcelo Hartmann
Arto Klami
Georgios Arvanitidis
AI4CE
230
1
0
30 May 2025
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