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
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model Mingyuan Zhang Zhongang Cai Liang Pan Fangzhou Hong Xinying Guo Lei Yang Ziwei Liu DiffM VGen 34 541 0 31 Aug 2022
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Autoinverse: Uncertainty Aware Inversion of Neural Networks Navid Ansari Hans-Peter Seidel Nima Vahidi Ferdowsi Vahid Babaei BDL 13 12 0 29 Aug 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 22 2 0 29 Aug 2022
Neural PCA for Flow-Based Representation Learning Shen Li Bryan Hooi DRL 13 1 0 23 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 45 373 0 05 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 32 22 0 03 Aug 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 27 77 0 03 Aug 2022
Quantum Adaptive Fourier Features for Neural Density Estimation Joseph A. Gallego-Mejia Fabio A. González 18 9 0 01 Aug 2022
Content-Aware Differential Privacy with Conditional Invertible Neural Networks Malte Tolle Ullrich Kothe F. André B. Meder Sandy Engelhardt 25 5 0 29 Jul 2022
Rewriting Geometric Rules of a GAN Sheng-Yu Wang David Bau Jun-Yan Zhu 40 35 0 28 Jul 2022
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network Min Zhang Zhihong Pan Xiaoxia Zhou C.-C. Jay Kuo 25 6 0 24 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 28 7 0 23 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 21 12 0 14 Jul 2022
Neural Posterior Estimation with Differentiable Simulators Justine Zeghal F. Lanusse Alexandre Boucaud B. Remy E. Aubourg 32 14 0 12 Jul 2022
Glow-WaveGAN 2: High-quality Zero-shot Text-to-speech Synthesis and Any-to-any Voice Conversion Yinjiao Lei Shan Yang Jian Cong Linfu Xie Dan Su DiffM 48 12 0 05 Jul 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 24 3 0 01 Jul 2022
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 27 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 19 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
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network Vitaliy Chiley Vithursan Thangarasa Abhay Gupta Anshul Samar Joel Hestness D. DeCoste 48 8 0 28 Jun 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning Cheng Tan Zhangyang Gao Lirong Wu Yongjie Xu Jun-Xiong Xia Siyuan Li Stan Z. Li 39 107 0 24 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 18 2 0 20 Jun 2022
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
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 27 27 0 17 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 18 126 0 13 Jun 2022
Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata Tianyu Li Bogdan Mazoure Guillaume Rabusseau 21 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 28 4 0 05 Jun 2022
Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering Tin Vlašić Hieu Nguyen AmirEhsan Khorashadizadeh Ivan Dokmanić 3DV AI4CE 19 10 0 04 Jun 2022
Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks M. Reh M. Gärttner 19 8 0 04 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 19 26 0 03 Jun 2022
Modeling sRGB Camera Noise with Normalizing Flows Shayan Kousha Ali Maleky M. S. Brown Marcus A. Brubaker 21 27 0 02 Jun 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 29 0 0 01 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation Zohreh Azizi C.-C. Jay Kuo VLM DiffM GAN 25 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 24 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 31 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 18 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
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 J. Li Ping Li 24 50 0 13 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 22 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 38 211 0 09 May 2022