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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 / 2,354 papers shown
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Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information
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229
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S. Sami
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SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic InvertibLE Hiding Network
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Zihan Chen
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Pier Luigi Dragotti
343
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Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
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Hanno Gottschalk
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Yongxin Chen
Huayu Chen
Guande He
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615
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End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
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Xiaogang Jia
Gerhard Neumann
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326
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Jinjin Shi
Jinwei Wang
Zeming Han
336
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26 Feb 2025
Optimal Stochastic Trace Estimation in Generative Modeling
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Xinyang Liu
Hengrong Du
Wei Deng
Ruqi Zhang
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259
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26 Feb 2025
Diffusion Models for conditional MRI generation
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Manuel Jesús Cerezo Mazón
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Yici Yan
Alex Schwing
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418
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Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems
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Xiaofei Guan
Ling Guo
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AI4TS
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Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations
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Yoram Bachrach
Wilhelm Huck
Tal Kachman
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Conditional Distribution Quantization in Machine Learning
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Sylvain Delattre
Alexandre Verine
Alexandre Allauzen
388
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Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
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Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
421
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11 Feb 2025
Amortized In-Context Bayesian Posterior Estimation
Sarthak Mittal
Niels Leif Bracher
Guillaume Lajoie
P. Jaini
Marcus A. Brubaker
264
10
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10 Feb 2025
Flow-based Conformal Prediction for Multi-dimensional Time Series
Junghwan Lee
Chen Xu
Yao Xie
AI4TS
AI4CE
328
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An inpainting approach to manipulate asymmetry in pre-operative breast images
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M. Cardoso
J. Cardoso
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239
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Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
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Akshat Kumar
361
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Avishek Ghosh
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Dmitry Vetrov
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482
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Statistical Inference for Generative Model Comparison
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Yan Sun
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650
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Kejun Tang
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Chao Yang
227
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Xiaohui Chen
312
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384
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An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
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Xiliang Yang
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553
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Janik Kreit
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K. Nicoli
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Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging
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Hannes Albers
Tobias Knopp
Tobias Kluth
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Stochastic Process Learning via Operator Flow Matching
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Zachary E. Ross
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StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
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Jacek Tabor
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280
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Score-Based Metropolis-Hastings Algorithms
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Vahid Tarokh
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Sampling-Based Constrained Motion Planning with Products of Experts
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Teng Xue
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Jet: A Modern Transformer-Based Normalizing Flow
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Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
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