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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
Into the Unknown: Towards using Generative Models for Sampling Priors of Environment Uncertainty for Planning in Configuration Spaces
Into the Unknown: Towards using Generative Models for Sampling Priors of Environment Uncertainty for Planning in Configuration Spaces
Subhransu S. Bhattacharjee
Hao Lu
Dylan Campbell
Rahul Shome
3DPC
121
0
0
13 Oct 2025
Diffusion Transformers with Representation Autoencoders
Diffusion Transformers with Representation Autoencoders
Boyang Zheng
Nanye Ma
Shengbang Tong
Saining Xie
DiffM
204
41
0
13 Oct 2025
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
Mert Inan
Anthony Sicilia
Alex Xie
Saujas Vaduguru
Daniel Fried
Malihe Alikhani
96
0
0
10 Oct 2025
Conditional Flow Matching for Bayesian Posterior Inference
Conditional Flow Matching for Bayesian Posterior Inference
So Won Jeong
Percy S. Zhai
Veronika Ročová
159
0
0
10 Oct 2025
FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
Arthur Bizzi
Matias Grynberg
Vitor Matias
Daniel Perazzo
João Paulo Lima
Luiz Velho
Nuno Gonçalves
João M. Pereira
Guilherme Gonçalves Schardong
Tiago Novello
3DHAI4CE
213
2
0
10 Oct 2025
Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
Peiyang Liu
Ziqiang Cui
Di Liang
Wei Ye
123
1
0
09 Oct 2025
Who Said Neural Networks Aren't Linear?
Who Said Neural Networks Aren't Linear?
Nimrod Berman
Assaf Hallak
Assaf Shocher
124
1
0
09 Oct 2025
metabeta - A fast neural model for Bayesian mixed-effects regression
metabeta - A fast neural model for Bayesian mixed-effects regression
Alex Kipnis
Marcel Binz
Eric Schulz
BDL
113
0
0
08 Oct 2025
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
Peter Van Katwyk
Karianne J. Bergen
196
0
0
06 Oct 2025
Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
Achim Eckerle
M. Spitznagel
J. Keuper
AI4CE
140
0
0
06 Oct 2025
Neural Bayesian Filtering
Neural Bayesian Filtering
Christopher Solinas
Radovan Haluška
David Sychrovský
Finbarr Timbers
Nolan Bard
M. Buro
Martin Schmid
Nathan R Sturtevant
Michael Bowling
BDL
88
0
0
04 Oct 2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study
Learning Regularization Functionals for Inverse Problems: A Comparative Study
J. Hertrich
Matthias Joachim Ehrhardt
Alexander Denker
Stanislas Ducotterd
Zhenghan Fang
...
German Shâma Wache
Martin Zach
Yasi Zhang
Matthias Joachim Ehrhardt
Sebastian Neumayer
129
3
0
02 Oct 2025
Adaptive Heterogeneous Mixtures of Normalising Flows for Robust Variational Inference
Adaptive Heterogeneous Mixtures of Normalising Flows for Robust Variational Inference
Benjamin Wiriyapong
Oktay Karakuş
Kirill Sidorov
BDL
148
0
0
02 Oct 2025
Learning Energy-based Variational Latent Prior for VAEs
Learning Energy-based Variational Latent Prior for VAEs
Debottam Dutta
Chaitanya Amballa
Zhongweiyang Xu
Yu-Lin Wei
Romit Roy Choudhury
DiffM
151
0
0
30 Sep 2025
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
Maximilian Schebek
Frank Noé
Jutta Rogal
186
3
0
29 Sep 2025
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Xincheng Yao
Chao Shi
Muming Zhao
Guangtao Zhai
Chongyang Zhang
OODD
172
1
0
28 Sep 2025
StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion Transformer
StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion TransformerIEEE Transactions on Visualization and Computer Graphics (TVCG), 2025
Zhenyu Shu
Jiajun Shen
Zhongui Chen
Xiaoguang Han
Shiqing Xin
DiffM
124
0
0
28 Sep 2025
CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation
CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation
Kai Yang
Tianlin Zhang
Zhengbo Wang
Zedong Chu
Xiaolong Wu
Yang Cai
Mu Xu
136
2
0
27 Sep 2025
Impute-MACFM: Imputation based on Mask-Aware Flow Matching
Impute-MACFM: Imputation based on Mask-Aware Flow Matching
Dengyi Liu
Honggang Wang
Hua Fang
144
0
0
27 Sep 2025
Transport Based Mean Flows for Generative Modeling
Transport Based Mean Flows for Generative Modeling
Elaheh Akbari
Ping He
Ahmadreza Moradipari
Yikun Bai
Soheil Kolouri
DiffM
131
1
0
26 Sep 2025
Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments
Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments
Hyunwoo Kim
Junha Lee
M. Choi
J. Lee
Jaeshin Cho
VLM
142
0
0
26 Sep 2025
Reversible GNS for Dissipative Fluids with Consistent Bidirectional Dynamics
Reversible GNS for Dissipative Fluids with Consistent Bidirectional Dynamics
Mu Huang
Linning Xu
Mingyue Dai
Yidi Shao
Bo Dai
AI4CE
139
0
0
26 Sep 2025
Exploring the Early Universe with Deep Learning
Exploring the Early Universe with Deep LearningPortuguese Conference on Artificial Intelligence (EPIA), 2025
Emmanuel de Salis
Massimo De Santis
Davide Piras
Sambit K. Giri
Michele Bianco
...
Merve Selcuk-Simsek
Kelley M. Hess
M. Carmen Toribio
Franz Kirsten
Hatem Ghorbel
112
0
0
26 Sep 2025
Normalizing Flows are Capable Visuomotor Policy Learning Models
Normalizing Flows are Capable Visuomotor Policy Learning Models
Simon Kristoffersson Lind
Jialong Li
Maj Stenmark
Volker Kruger
198
1
0
25 Sep 2025
Latent Iterative Refinement Flow: A Geometric-Constrained Approach for Few-Shot Generation
Latent Iterative Refinement Flow: A Geometric-Constrained Approach for Few-Shot Generation
Songtao Li
Zhenyu Liao
Tianqi Hou
Ting Gao
88
0
0
24 Sep 2025
Simple, Fast and Efficient Injective Manifold Density Estimation with Random Projections
Simple, Fast and Efficient Injective Manifold Density Estimation with Random Projections
Ahmad Ayaz Amin
Baha Uddin Kazi
141
0
0
24 Sep 2025
FlowCrypt: Flow-Based Lightweight Encryption with Near-Lossless Recovery for Cloud Photo Privacy
FlowCrypt: Flow-Based Lightweight Encryption with Near-Lossless Recovery for Cloud Photo Privacy
Xiaohui Yang
Ping Ping
Feng Xu
104
0
0
23 Sep 2025
TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation
TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation
MohammadReza EskandariNasab
S. M. Hamdi
S. F. Boubrahimi
DiffMAI4TS
151
0
0
23 Sep 2025
GEM-T: Generative Tabular Data via Fitting Moments
GEM-T: Generative Tabular Data via Fitting Moments
Miao Li
Phuc Nguyen
Christopher Tam
Alexandra Morgan
Kenneth Ge
Rahul Bansal
Linzi Yu
R. Arnaout
Ramy Arnaout
117
0
0
22 Sep 2025
DINVMark: A Deep Invertible Network for Video Watermarking
DINVMark: A Deep Invertible Network for Video Watermarking
Jianbin Ji
Dawen Xu
Li Dong
Lin Yang
Songhan He
153
0
0
22 Sep 2025
Flow-Induced Diagonal Gaussian Processes
Flow-Induced Diagonal Gaussian Processes
Moule Lin
Andrea Patane
Weipeng Jing
Shuhao Guan
Goetz Botterweck
227
0
0
21 Sep 2025
Causal Discovery via Quantile Partial Effect
Causal Discovery via Quantile Partial Effect
Yikang Chen
Xingzhe Sun
Dehui Du
131
0
0
16 Sep 2025
4DRadar-GS: Self-Supervised Dynamic Driving Scene Reconstruction with 4D Radar
4DRadar-GS: Self-Supervised Dynamic Driving Scene Reconstruction with 4D Radar
Xiao Tang
Guirong Zhuo
Cong Wang
Boyuan Zheng
Minqing Huang
Lianqing Zheng
Long Chen
Shouyi Lu
3DGS
156
0
0
16 Sep 2025
Learning to Generate Pointing Gestures in Situated Embodied Conversational Agents
Learning to Generate Pointing Gestures in Situated Embodied Conversational AgentsFrontiers in Robotics and AI (Front. Robot. AI), 2023
Anna Deichler
Siyang Wang
Simon Alexanderson
Jonas Beskow
132
12
0
15 Sep 2025
LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models
LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching ModelsIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025
Hirokazu Kameoka
Takuhiro Kaneko
Kou Tanaka
Yuto Kondo
DiffM
116
0
0
10 Sep 2025
VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring
VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring
Cuong V. Nguyen
D. Tran
Hong Nguyen
Xuan-Vu Phan
Nam-Phong Nguyen
131
0
0
10 Sep 2025
Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix
Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix
Mehmet Can Yavuz
Berrin Yanikoglu
89
2
0
08 Sep 2025
An invertible generative model for forward and inverse problems
An invertible generative model for forward and inverse problems
Tristan van Leeuwen
Christoph Brune
Marcello Carioni
GANTPM
256
0
0
04 Sep 2025
Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling
Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling
Niclas Dern
Lennart Redl
Sebastian Pfister
Marcel Kollovieh
David Lüdke
Stephan Günnemann
149
3
0
03 Sep 2025
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
Paul-Gauthier Noé
A. Nautsch
D. Matrouf
Pierre-Michel Bousquet
J. Bonastre
177
0
0
03 Sep 2025
Towards Trustworthy Amortized Bayesian Model Comparison
Towards Trustworthy Amortized Bayesian Model Comparison
Šimon Kucharský
Aayush Mishra
Daniel Habermann
Stefan T. Radev
Paul-Christian Bürkner
128
1
0
28 Aug 2025
Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy
Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy
Binhui Zhang
Jianwei Ma
TPMBDLAI4CE
211
0
0
27 Aug 2025
On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
Haozhe Jiang
Nika Haghtalab
188
2
0
26 Aug 2025
Amortized Sampling with Transferable Normalizing Flows
Amortized Sampling with Transferable Normalizing Flows
Charlie Tan
Majdi Hassan
Leon Klein
Saifuddin Syed
Dominique Beaini
Michael Bronstein
Alexander Tong
Kirill Neklyudov
259
7
0
25 Aug 2025
Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling
Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling
Haochen You
Baojing Liu
Hongyang He
DiffM
202
3
0
24 Aug 2025
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
Kiran Madhusudhanan
Vijaya Krishna Yalavarthi
Jonas Sonntag
Ilia Koloiarov
Lars Schmidt-Thieme
100
0
0
23 Aug 2025
NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
Denis Tarasov
Alexander Nikulin
Ilya Zisman
Albina Klepach
Nikita Lyubaykin
Andrei Polubarov
Alexander Derevyagin
Vladislav Kurenkov
AI4CE
185
2
0
23 Aug 2025
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals
Ziqi Li
Abderraouf Amrani
Shri Rai
Hamid Laga
3DH
175
3
0
22 Aug 2025
Efficient Identification of Critical Transitions via Flow Matching: A Scalable Generative Approach for Many-Body Systems
Efficient Identification of Critical Transitions via Flow Matching: A Scalable Generative Approach for Many-Body Systems
Qian-Rui Lee
Daw-Wei Wang
272
0
0
21 Aug 2025
DiffIER: Optimizing Diffusion Models with Iterative Error Reduction
DiffIER: Optimizing Diffusion Models with Iterative Error Reduction
Ao Chen
Lihe Ding
Tianfan Xue
151
0
0
19 Aug 2025
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