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"

50 / 754 papers shown

Title
A Neural Network MCMC sampler that maximizes Proposal Entropy Zengyi Li Yubei Chen Friedrich T. Sommer 25 14 0 07 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 56 6,944 0 06 Oct 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 32 13 0 05 Oct 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo-wen Li Kim Ji Eun Ding Zhao AAML 16 99 0 16 Sep 2020
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks F. Balsiger Alain Jungo Olivier Scheidegger B. Marty M. Reyes 21 3 0 10 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 30 153 0 06 Aug 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 19 51 0 02 Aug 2020
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation Xiaoyuan Yi Hyeonseung Lee Wenhao Li Hyung Yong Kim Nam Soo Kim 22 22 0 25 Jul 2020
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture Fady K. Fahmy M. Khalil Hazem M. Abbas 39 20 0 22 Jul 2020
Time Series Source Separation with Slow Flows Edouard Pineau S. Razakarivony Thomas Bonald BDL AI4TS 39 2 0 20 Jul 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 26 107 0 20 Jul 2020
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows Ali Siahkoohi G. Rizzuti Philipp A. Witte Felix J. Herrmann AI4CE 19 16 0 15 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 44 147 0 13 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 27 5 0 10 Jul 2020
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 24 19 0 10 Jul 2020
Invertible Zero-Shot Recognition Flows Yuming Shen Jie Qin Lei Huang BDL AI4CE 19 100 0 09 Jul 2020
Swapping Autoencoder for Deep Image Manipulation Taesung Park Jun-Yan Zhu Oliver Wang Jingwan Lu Eli Shechtman Alexei A. Efros Richard Y. Zhang 25 332 0 01 Jul 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning Luigi Gresele G. Fissore Adrián Javaloy Bernhard Schölkopf Aapo Hyvarinen DRL 19 22 0 26 Jun 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton 3DH 33 9 0 26 Jun 2020
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 41 100 0 25 Jun 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 23 356 0 25 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 27 59 0 22 Jun 2020
Deep Residual Mixture Models Perttu Hämäläinen Martin Trapp Tuure Saloheimo Arno Solin 30 8 0 22 Jun 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 35 199 0 22 Jun 2020
Modeling Lost Information in Lossy Image Compression Yaolong Wang Mingqing Xiao Chang-Shu Liu Shuxin Zheng Tie-Yan Liu 32 23 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 16,947 0 19 Jun 2020
STEER: Simple Temporal Regularization For Neural ODEs Arna Ghosh Harkirat Singh Behl Emilien Dupont Philip Torr Vinay P. Namboodiri BDL AI4TS 27 74 0 18 Jun 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 27 119 0 18 Jun 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization Abhinav Agrawal Daniel Sheldon Justin Domke TPM BDL 6 38 0 18 Jun 2020
Neural Manifold Ordinary Differential Equations Aaron Lou Derek Lim Isay Katsman Leo Huang Qingxuan Jiang Ser-Nam Lim Christopher De Sa BDL AI4CE 23 79 0 18 Jun 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 28 280 0 17 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 37 437 0 17 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 21 43 0 17 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Jackson Wang Roger C. Grosse J. Jacobsen 23 92 0 16 Jun 2020
Ordering Dimensions with Nested Dropout Normalizing Flows Artur Bekasov Iain Murray DRL 28 5 0 15 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 24 26 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 33 229 0 11 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 21 32 0 09 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 16 44 0 08 Jun 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds Hyeongju Kim Hyeonseung Lee Woohyun Kang Joun Yeop Lee N. Kim 3DPC 25 114 0 08 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 25 28 0 02 Jun 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search Jaehyeon Kim Sungwon Kim Jungil Kong Sungroh Yoon 33 473 0 22 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 39 1,305 0 20 May 2020
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis Rafael Valle Kevin J. Shih R. Prenger Bryan Catanzaro 21 119 0 12 May 2020
Invertible Image Rescaling Mingqing Xiao Shuxin Zheng Chang-Shu Liu Yaolong Wang Di He Guolin Ke Jiang Bian Zhouchen Lin Tie-Yan Liu SupR 33 234 0 12 May 2020
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech Geng Yang Shan Yang Kai-Chun Liu Peng Fang Wei Chen Lei Xie 64 198 0 11 May 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques R. Prudden Samantha V. Adams D. Kangin Nial H. Robinson Suman V. Ravuri S. Mohamed A. Arribas AI4Cl OffRL 43 45 0 11 May 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 43 22 0 30 Apr 2020