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
Generating Smooth Pose Sequences for Diverse Human Motion Prediction Wei Mao Miaomiao Liu Mathieu Salzmann 3DH 27 75 0 19 Aug 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 27 57 0 18 Aug 2021
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra Katiana Kontolati Natalie Klein N. Panda Diane Oyen 18 3 0 17 Aug 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 24 5 0 12 Aug 2021
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling Christos Sakaridis Andreas Lugmayr Kaicheng Zhang Martin Danelljan Luc Van Gool Radu Timofte 48 102 0 11 Aug 2021
Enhanced Invertible Encoding for Learned Image Compression Yueqi Xie Ka Leong Cheng Qifeng Chen 46 189 0 08 Aug 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 49 35 0 30 Jul 2021
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes Wenhang Ge Chunyan Pan Ancong Wu Hongwei Zheng Weishi Zheng 27 26 0 29 Jul 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 28 118 0 29 Jul 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 35 16 0 28 Jul 2021
Human Pose Regression with Residual Log-likelihood Estimation Jiefeng Li Siyuan Bian Ailing Zeng Can Wang Bo Pang Wentao Liu Cewu Lu 25 191 0 23 Jul 2021
Copula-Based Normalizing Flows M. Laszkiewicz Johannes Lederer Asja Fischer 32 7 0 15 Jul 2021
Semantic and Geometric Unfolding of StyleGAN Latent Space Mustafa Shukor Xu Yao B. Damodaran Pierre Hellier GAN 32 4 0 09 Jul 2021
Mitigating Generation Shifts for Generalized Zero-Shot Learning Zhi Chen Yadan Luo Sen Wang Ruihong Qiu Jingjing Li Zi Huang 19 25 0 07 Jul 2021
Blind Image Super-Resolution: A Survey and Beyond Anran Liu Yihao Liu Jinjin Gu Yu Qiao Chao Dong 34 160 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 35 851 0 07 Jul 2021
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors Dhruv V. Patel Deep Ray Assad A. Oberai AI4CE 19 37 0 06 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 21 27 0 04 Jul 2021
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability Anubhab Ghosh Antoine Honoré Dong Liu G. Henter S. Chatterjee 16 5 0 01 Jul 2021
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 23 20 0 01 Jul 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 352 0 29 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 27 10 0 25 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 26 0 0 24 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 27 19 0 24 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 26 16 0 24 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 36 2 0 23 Jun 2021
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Apratim Bhattacharyya Daniel Olmeda Reino Mario Fritz Bernt Schiele 21 25 0 22 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 26 8 0 21 Jun 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation Magda Amiridi Nikos Kargas N. Sidiropoulos 18 10 0 20 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 23 92 0 19 Jun 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 23 22 0 18 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering Ioannis Gatopoulos M. Stol Vincent Tao Hu SSL 40 11 0 18 Jun 2021
A Flow-Based Neural Network for Time Domain Speech Enhancement Martin Strauss B. Edler 20 33 0 16 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 30 4 0 15 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 86 842 0 11 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 19 36 0 10 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 29 4 0 10 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 29 100 0 09 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 31 81 0 09 Jun 2021
Inverse design of two-dimensional materials with invertible neural networks Victor Fung Jiaxin Zhang Guoxiang Hu P. Ganesh B. Sumpter 28 41 0 06 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 41 187 0 05 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 22 4 0 04 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks Friedrich Bethke R. Pausch Patrick Stiller A. Debus Michael Bussmann Nico Hoffmann 27 2 0 01 Jun 2021
Hybrid Generative Models for Two-Dimensional Datasets Hoda Shajari Jaemoon Lee Sanjay Ranka Anand Rangarajan MedIm 16 0 0 01 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 45 1,175 0 30 May 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 37 168 0 19 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021