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
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network Min Zhang Zhihong Pan Xiaoxia Zhou C.-C. Jay Kuo 30 6 0 24 Jul 2022
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Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 36 39 0 06 Jul 2022
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Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 16 2 0 04 Jul 2022
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows Florentin Coeurdoux N. Dobigeon P. Chainais OOD OT 32 7 0 04 Jul 2022
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Learning Lattice Quantum Field Theories with Equivariant Continuous Flows Mathis Gerdes P. D. Haan Corrado Rainone Roberto Bondesan Miranda C. N. Cheng AI4CE 16 40 0 01 Jul 2022
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS Kyle Kastner Aaron Courville 35 0 0 30 Jun 2022
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera Hongrui Cai Wanquan Feng Xuetao Feng Yan Wang Juyong Zhang 3DH 21 62 0 30 Jun 2022
Semantic Unfolding of StyleGAN Latent Space Mustafa Shukor Xu Yao B. Damodaran Pierre Hellier CVBM GAN 30 3 0 29 Jun 2022
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Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 19 7 0 17 Jun 2022
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A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 30 11 0 17 Jun 2022
On the Identifiability of Nonlinear ICA: Sparsity and Beyond Yujia Zheng Ignavier Ng Kun Zhang CML 21 59 0 15 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 21 127 0 13 Jun 2022
Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata Tianyu Li Bogdan Mazoure Guillaume Rabusseau 23 0 0 08 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Q. Ye Yuanzhe Xi TPM 30 4 0 05 Jun 2022
Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering Tin Vlašić Hieu Nguyen AmirEhsan Khorashadizadeh Ivan Dokmanić 3DV AI4CE 27 10 0 04 Jun 2022
Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks M. Reh M. Gärttner 27 8 0 04 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 24 26 0 03 Jun 2022
Invertible Neural Networks for Graph Prediction Chen Xu Xiuyuan Cheng Yao Xie GNN 28 9 0 02 Jun 2022
Modeling sRGB Camera Noise with Normalizing Flows Shayan Kousha Ali Maleky M. S. Brown Marcus A. Brubaker 26 27 0 02 Jun 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 31 0 0 01 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation Zohreh Azizi C.-C. Jay Kuo VLM DiffM GAN 33 8 0 01 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 23 3 0 30 May 2022
Batch Normalization Is Blind to the First and Second Derivatives of the Loss Zhanpeng Zhou Wen Shen Huixin Chen Ling Tang Quanshi Zhang 34 2 0 30 May 2022
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference R. Grumitt B. Dai U. Seljak BDL 29 12 0 27 May 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 39 2 0 25 May 2022
NFL: Robust Learned Index via Distribution Transformation Shangyu Wu Yufei Cui Jinghuan Yu Xuan Sun Tei-Wei Kuo Chun Jason Xue OOD 26 25 0 24 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 43 18 0 23 May 2022
Contrastive Learning of Coarse-Grained Force Fields Xinqiang Ding Bin W. Zhang 40 21 0 22 May 2022
Principled Knowledge Extrapolation with GANs Ruili Feng Jie Xiao Kecheng Zheng Deli Zhao Jingren Zhou Qibin Sun Zhengjun Zha 62 8 0 21 May 2022
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars Fangzhou Hong Mingyuan Zhang Liang Pan Zhongang Cai Lei Yang Ziwei Liu CLIP 98 79 0 17 May 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 55 8 0 16 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 24 50 0 13 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 13 2 0 11 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 32 29 0 10 May 2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality Xu Tan Jiawei Chen Haohe Liu Jian Cong Chen Zhang ... Lei He Frank Soong Tao Qin Sheng Zhao Tie-Yan Liu 44 213 0 09 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 28 15 0 04 May 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence Andrew McDonald Pang-Ning Tan Lifeng Luo 21 9 0 02 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022