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1605.08754
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Faster Eigenvector Computation via Shift-and-Invert Preconditioning
26 May 2016
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
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Papers citing
"Faster Eigenvector Computation via Shift-and-Invert Preconditioning"
50 / 620 papers shown
Title
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
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Yue Deng
DiffM
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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
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50
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Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification
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Lian Wu
Yong Xu
41
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Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
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Mariem Besbes
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Victor Czmil
Claude Baron
Vincent Bourgeois
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0
02 May 2025
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data
Maximilian Stupp
P. S. Koutsourelakis
40
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29 Apr 2025
Score-Debiased Kernel Density Estimation
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Rajat Dwaraknath
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John Winnicki
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HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models
Jens Hooge
Gerard Sanroma-Guell
Faidra Stavropoulou
Alexander Ullmann
Gesine Knobloch
Mark Klemens
Carola Schmidt
Sabine Weckbach
Andreas Bolz
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25 Apr 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee
Jinyoung Park
Jaewon Chu
Minseo Yoon
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30
1
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21 Apr 2025
Improving the evaluation of samplers on multi-modal targets
Louis Grenioux
Maxence Noble
Marylou Gabrié
107
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Neural Parametric Mixtures for Path Guiding
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Guoping Wang
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56
9
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Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
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Jiwoo Hong
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50
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51
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41
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Yunfan Wu
Yuhang Ma
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Ronghui Zhang
Jiaming Wu
Guodong Yin
Liang Lin
53
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Yang Ding
Richard Hartley
Zirui Xie
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Zhenghua Yu
41
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14 Mar 2025
Spherical Tree-Sliced Wasserstein Distance
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Thanh T. Chu
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Trang Pham
Tam Le
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59
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45
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Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
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Yongxin Chen
Huayu Chen
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J. Zhu
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DiffM
49
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A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation
Zhixin Lu
Łukasz Kuśmierz
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65
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Towards Hierarchical Rectified Flow
Yichi Zhang
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41
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A Neural Difference-of-Entropies Estimator for Mutual Information
Haoran Ni
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89
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Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
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Shireen Elhabian
64
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An inpainting approach to manipulate asymmetry in pre-operative breast images
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M. Cardoso
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47
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Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti
Pranava Singhal
Avishek Ghosh
Sunita Sarawagi
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78
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Trustworthy Evaluation of Generative AI Models
Zijun Gao
Yan Sun
104
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Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity
Shuailong Zhu
Xiaohui Chen
77
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28 Jan 2025
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths
Yueyang Wang
Kejun Tang
Xili Wang
Xiaoliang Wan
Weiqing Ren
Chao Yang
40
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INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration
Di You
P. Dragotti
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40
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An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong
Xiliang Yang
Sanguo Zhang
Zhijian He
116
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StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
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42
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Score-Based Metropolis-Hastings Algorithms
Ahmed Aloui
Ali Hasan
Juncheng Dong
Zihao Wu
Vahid Tarokh
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95
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24 Nov 2024
DELTA: Dense Efficient Long-range 3D Tracking for any video
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43
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35
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Analyzing Generative Models by Manifold Entropic Metrics
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Armand Rousselot
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24
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Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
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Training Neural Samplers with Reverse Diffusive KL Divergence
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Wenlin Chen
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37
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PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Martin
Anne Gagneux
Paul Hagemann
Gabriele Steidl
42
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Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
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Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
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Tracking Everything in Robotic-Assisted Surgery
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51
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Simulation-based inference with the Python Package sbijax
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29
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MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views
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PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
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INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
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