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
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 21 1 0 21 Oct 2022
Improved Normalizing Flow-Based Speech Enhancement using an All-pole Gammatone Filterbank for Conditional Input Representation Martin Strauss Matteo Torcoli B. Edler 21 4 0 21 Oct 2022
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow David Osowiechi G. A. V. Hakim Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers OOD 27 22 0 20 Oct 2022
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions Paweł Antoni Pierzchlewicz R. J. Cotton Mohammad Ali Bashiri Fabian H. Sinz 3DH 21 8 0 20 Oct 2022
Transfer learning with affine model transformation Shunya Minami Kenji Fukumizu Yoshihiro Hayashi Ryo Yoshida 27 1 0 18 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 30 2 0 18 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 38 8 0 14 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 29 14 0 12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 70 485 0 12 Oct 2022
Adversarial Speaker-Consistency Learning Using Untranscribed Speech Data for Zero-Shot Multi-Speaker Text-to-Speech Byoung Jin Choi Myeonghun Jeong Minchan Kim Sung Hwan Mun N. Kim DiffM 27 5 0 12 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation Jiatao Gu Shuangfei Zhai Yizhe Zhang Miguel Angel Bautista J. Susskind DiffM 53 26 0 10 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 64 33 0 10 Oct 2022
Scaling Up Probabilistic Circuits by Latent Variable Distillation Guy Van den Broeck Honghua Zhang Mathias Niepert TPM 22 24 0 10 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 29 26 0 09 Oct 2022
GENHOP: An Image Generation Method Based on Successive Subspace Learning Xuejing Lei Wei Wang C.-C. Jay Kuo VLM 30 6 0 07 Oct 2022
Content-Based Search for Deep Generative Models Daohan Lu Sheng-Yu Wang Nupur Kumari Rohan Agarwal Mia Tang David Bau Jun-Yan Zhu DiffM SyDa 38 5 0 06 Oct 2022
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction Jiajian Lu Offer Grembek M. Hansen AI4TS 19 0 0 04 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 54 14 0 01 Oct 2022
Training Normalizing Flows from Dependent Data Matthias Kirchler C. Lippert Marius Kloft TPM 24 2 0 29 Sep 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 72 24 0 28 Sep 2022
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks Zirui Zang Hongrui Zheng Johannes Betz Rahul Mangharam 40 6 0 24 Sep 2022
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models Cansu Korkmaz A. Murat Tekalp Zafer Doğan Erkut Erdem Aykut Erdem 27 2 0 18 Sep 2022
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction Gang Yang Li Zhang Man Zhou Aiping Liu Xun Chen Zhiwei Xiong Feng Wu MedIm 34 14 0 15 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu Saman Motamed Shaunak Srivastava Fernando de la Torre VLM DiffM 21 34 0 14 Sep 2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition Thanh-Dat Truong C. Duong Ngan Le Marios Savvides Khoa Luu CVBM 72 9 0 11 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 49 845 0 07 Sep 2022
Conditional Independence Testing via Latent Representation Learning Bao Duong T. Nguyen BDL CML 31 6 0 04 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
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 58 541 0 31 Aug 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis Wanshu Fan Yen-Chun Chen Dongdong Chen Yu Cheng Lu Yuan Yu-Chiang Frank Wang DiffM 29 90 0 29 Aug 2022
Autoinverse: Uncertainty Aware Inversion of Neural Networks Navid Ansari Hans-Peter Seidel Nima Vahidi Ferdowsi Vahid Babaei BDL 19 12 0 29 Aug 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 27 2 0 29 Aug 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models John Shelton Hyatt 8 1 0 24 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 50 373 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 32 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 30 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 30 7 0 23 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 26 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
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 33 39 0 06 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 50 12 0 05 Jul 2022
Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 16 2 0 04 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