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
Solving time dependent Fokker-Planck equations via temporal normalizing flow Xiaodong Feng Li Zeng Tao Zhou AI4CE 36 25 0 28 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 29 48 0 27 Dec 2021
A Compact Neural Network-based Algorithm for Robust Image Watermarking Hongcai Xu Rong Wang Jia Wei Shao-Ping Lu 27 13 0 27 Dec 2021
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors Vincent van de Schaft Ruud J. G. van Sloun OOD MedIm 26 6 0 24 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 152 14,683 0 20 Dec 2021
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey Slava Voloshynovskiy T. Golling TPM 38 4 0 15 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin S. Feizi Ramalingam Chellappa AAML 29 12 0 12 Dec 2021
Diffeomorphically Learning Stable Koopman Operators Petar Bevanda Maximilian Beier Sebastian Kerz Armin Lederer Stefan Sosnowski Sandra Hirche 29 21 0 08 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 38 2 0 07 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 140 81 0 06 Dec 2021
HMC with Normalizing Flows Sam Foreman T. Izubuchi Luchang Jin Xiao-Yong Jin James C. Osborn A. Tomiya 13 18 0 02 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation Ziyuan Zhong Yun Tang Yuan Zhou V. Neves Yang Liu Baishakhi Ray 43 60 0 02 Dec 2021
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs Michael Niemeyer Jonathan T. Barron B. Mildenhall Mehdi S. M. Sajjadi Andreas Geiger Noha Radwan 51 579 0 01 Dec 2021
Forward Operator Estimation in Generative Models with Kernel Transfer Operators Z. Huang Rudrasis Chakraborty Vikas Singh GAN 16 3 0 01 Dec 2021
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 18 101 0 30 Nov 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 29 3 0 25 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 456 0 24 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 30 22 0 24 Nov 2021
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence Taketo Akama BDL 30 3 0 23 Nov 2021
Lossless Compression with Probabilistic Circuits Guy Van den Broeck Stephan Mandt Mathias Niepert TPM 15 20 0 23 Nov 2021
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 14 34 0 17 Nov 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes Samrudhdhi B. Rangrej James J. Clark 24 12 0 15 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 348 1,593 0 10 Nov 2021
Approaching the Limit of Image Rescaling via Flow Guidance Shangzhou Li Guixuan Zhang Zhengxiong Luo Jie Liu Zhi Zeng Shuwu Zhang 36 9 0 09 Nov 2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution Andreas Lugmayr Martin Danelljan Feng Yu Luc Van Gool Radu Timofte 20 14 0 05 Nov 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 30 32 0 29 Oct 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 33 2 0 28 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 21 19 0 26 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 33 70 0 25 Oct 2021
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 34 21 0 21 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 12 2 0 17 Oct 2021
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 56 13 0 15 Oct 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 35 87 0 14 Oct 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation Shidi Li Miaomiao Liu Christian J. Walder 3DPC 54 28 0 13 Oct 2021
A bridge between features and evidence for binary attribute-driven perfect privacy Paul-Gauthier Noé A. Nautsch D. Matrouf Pierre-Michel Bousquet J. Bonastre 44 6 0 12 Oct 2021
Fitting large mixture models using stochastic component selection Milan Papez Tomás Pevný Václav Smídl 23 0 0 10 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis Despoina Paschalidou Amlan Kar Maria Shugrina Karsten Kreis Andreas Geiger Sanja Fidler 3DV ViT 33 148 0 07 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 126 302 0 07 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 72 625 0 06 Oct 2021
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows P. D. Haan Corrado Rainone Miranda C. N. Cheng Roberto Bondesan AI4CE 16 35 0 06 Oct 2021
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi Hang Chu Joseph G. Lambourne Ye Wang Chin-Yi Cheng Marco Fumero Kamal Rahimi Malekshan CLIP 45 289 0 06 Oct 2021
End-to-End Image Compression with Probabilistic Decoding Haichuan Ma Dong Liu Cunhui Dong Li Li Feng Wu 19 1 0 30 Sep 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 25 35 0 27 Sep 2021
Mixed Integer Neural Inverse Design Navid Ansari Hans-Peter Seidel Vahid Babaei 19 5 0 27 Sep 2021
Focus on Impact: Indoor Exploration with Intrinsic Motivation Roberto Bigazzi Federico Landi S. Cascianelli Lorenzo Baraldi Marcella Cornia Rita Cucchiara OffRL 29 13 0 14 Sep 2021
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data Hari Prasanna Das Ryan Tran Japjot Singh Xiangyu Yue G. Tison Alberto L. Sangiovanni-Vincentelli C. Spanos OOD MedIm 57 51 0 14 Sep 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 103 354 0 13 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 31 13 0 07 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 179 90 0 31 Aug 2021