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 / 663 papers shown

Title
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 17 0 0 01 Nov 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 44 10 0 24 Oct 2023
Online Detection of AI-Generated Images David C. Epstein Ishan Jain Oliver Wang Richard Y. Zhang 27 53 0 23 Oct 2023
Canonical normalizing flows for manifold learning Kyriakos Flouris E. Konukoglu DRL 50 7 0 19 Oct 2023
Stochastic interpolants with data-dependent couplings M. S. Albergo Mark Goldstein Nicholas M. Boffi Rajesh Ranganath Eric Vanden-Eijnden OT 30 29 0 05 Oct 2023
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences Vanessa López-Marrero Patrick R. Johnstone Gilchan Park Xihaier Luo OT 31 1 0 27 Sep 2023
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 26 1 0 22 Sep 2023
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems R. Grumitt M. Karamanis U. Seljak 43 1 0 20 Sep 2023
Application-driven Validation of Posteriors in Inverse Problems T. Adler Jan-Hinrich Nolke Annika Reinke M. Tizabi Sebastian Gruber ... Lynton Ardizzone Paul F. Jaeger Florian Buettner Ullrich Kothe Lena Maier-Hein MedIm 35 1 0 18 Sep 2023
Learning Hybrid Dynamics Models With Simulator-Informed Latent States K. Ensinger Sebastian Ziesche Sebastian Trimpe 31 1 0 06 Sep 2023
Representation Learning for Sequential Volumetric Design Tasks Md Ferdous Alam Yi Wang Linh Tran Chin-Yi Cheng Jieliang Luo 3DV 25 2 0 05 Sep 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 111 35 0 29 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 48 0 0 26 Aug 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 35 22 0 20 Aug 2023
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model Fan Zhang Naye Ji Fuxing Gao Siyuan Zhao Zhaohan Wang Shunman Li 24 0 0 11 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Generative adversarial networks with physical sound field priors X. Karakonstantis Efren Fernandez-Grande GAN 25 12 0 01 Aug 2023
Variational Autoencoding of Dental Point Clouds J. Z. Ye Thomas Orkild P. Søndergaard Søren Hauberg 3DPC 21 0 0 20 Jul 2023
LINFA: a Python library for variational inference with normalizing flow and annealing Yu Wang Emma R. Cobian Jubilee Lee Fang Liu J. Hauenstein Daniele E. Schiavazzi BDL AI4CE 23 0 0 10 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation Guoqiang Zhang J. P. Lewis W. Kleijn DiffM 29 24 0 10 Jul 2023
Performance Modeling of Data Storage Systems using Generative Models A. Al-Maeeni A. Temirkhanov Artem Sergeevich Ryzhikov M. Hushchyn 15 0 0 05 Jul 2023
PaReprop: Fast Parallelized Reversible Backpropagation Tyler Lixuan Zhu K. Mangalam 17 1 0 15 Jun 2023
On Certified Generalization in Structured Prediction Bastian Boll Christoph Schnörr 21 0 0 15 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 21 1 0 15 Jun 2023
Taming Reversible Halftoning via Predictive Luminance Cheuk-Kit Lau Menghan Xia T. Wong 25 1 0 14 Jun 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Kun Zhang 48 8 0 10 Jun 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 32 9 0 08 Jun 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis B. Dai U. Seljak 19 17 0 07 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 30 3 0 07 Jun 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 13 2 0 01 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 16 24 0 01 Jun 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 42 7 0 26 May 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 25 2 0 24 May 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 21 22 0 19 May 2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion Chao-Hong Tan Jia-Chen Gu Zhen-Hua Ling DiffM 27 0 0 19 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 35 4 0 19 May 2023
A Flow-Based Generative Model for Rare-Event Simulation Lachlan J. Gibson Marcus Hoerger Dirk P. Kroese 13 4 0 13 May 2023
Exploiting Fine-Grained DCT Representations for Hiding Image-Level Messages within JPEG Images Junxue Yang Xin Liao 28 5 0 11 May 2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model Taofeng Xie Chentao Cao Zhuoxu Cui Yu Guo Caiying Wu ... Dong Liang Qiyu Jin Hongwu Zeng Guoqing Chen Haifeng Wang DiffM MedIm 28 10 0 06 May 2023
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs Jiakai Sun Zhanjie Zhang Jiafu Chen Guangyuan Li Boyan Ji Lei Zhao Wei Xing Huaizhong Lin 23 19 0 26 Apr 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 42 4 0 21 Apr 2023
Affective social anthropomorphic intelligent system Md. Adyelullahil Mamun Hasnat Md. Abdullah Md. Golam Rabiul Alam Muhammad Mehedi Hassan Md. Zia Uddin 17 1 0 19 Apr 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 27 1 0 18 Apr 2023
Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg Daniel Freedman 22 0 0 13 Apr 2023
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design Zaixin Zhang Qi Liu Cheekong Lee Chang-Yu Hsieh Enhong Chen 15 18 0 12 Apr 2023
Learned multiphysics inversion with differentiable programming and machine learning M. Louboutin Ziyi Yin Rafael Orozco Thomas J. Grady Ali Siahkoohi G. Rizzuti Philipp A. Witte O. Møyner Gerard Gorman Felix J. Herrmann AI4CE 26 10 0 12 Apr 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine L. Bouman 29 5 0 12 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 32 1 0 07 Apr 2023
Ensemble weather forecast post-processing with a flexible probabilistic neural network approach P. Mlakar J. Merse Jana Faganeli Pucer 17 4 0 29 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 38 224 0 28 Mar 2023