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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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Patryk Marszalek
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417
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29 May 2025
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
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Yingzhen Li
202
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29 May 2025
Normalizing Flows are Capable Models for RL
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Benjamin Eysenbach
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Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling
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28 May 2025
Wavelet Flow For Extragalactic Foreground Simulations
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W. L. K. Wu
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27 May 2025
Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage
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293
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Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
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Wei-Fang Sun
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Multivariate Latent Recalibration for Conditional Normalizing Flows
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345
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22 May 2025
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
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Thomas Kneib
Thomas Nagler
David Rügamer
294
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20 May 2025
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Nicolas Salvy
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214
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Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
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Zhaoyang Zhang
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254
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Trustworthy Image Super-Resolution via Generative Pseudoinverse
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175
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Dingjie Fu
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336
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Yonatan Kahn
205
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Zeyu Li
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Haoyang Li
Lijun Yang
Wen Yao
Yue Deng
DiffM
520
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12 May 2025
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
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Congchao Guo
Geng Yang
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Yiying Zhou
Yujiao Shi
Yuan Lu
Yucen He
281
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256
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Lian Wu
Yong Xu
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Mariem Besbes
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Claude Baron
Vincent Bourgeois
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Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework without Data
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328
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133
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Gerard Sanroma-Guell
Faidra Stavropoulou
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Gesine Knobloch
Mark Klemens
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Sabine Weckbach
Andreas Bolz
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MedIm
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MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark
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Fabio De Gaspari
Dorjan Hitaj
L. Mancini
305
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Latent Bayesian Optimization via Autoregressive Normalizing Flows
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Seunghun Lee
Jinyoung Park
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H. Kim
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292
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A real-time anomaly detection method for robots based on a flexible and sparse latent space
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Bum-Jae You
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Yisoo Lee
DRL
332
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Improving the evaluation of samplers on multi-modal targets
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Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
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Neural Parametric Mixtures for Path Guiding
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Guoping Wang
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Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
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Amir Sartipi
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Ramin Bahmani
386
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Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
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Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
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219
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Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection
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Carlo Cena
Umberto Albertin
Mauro Martini
Marcello Chiaberge
151
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Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning
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Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression
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Continual learning via probabilistic exchangeable sequence modelling
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Christopher Yau
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Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
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Feng Yin
Juan Maroñas
Alexandre Thiéry
485
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Graphical Transformation Models
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Johannes Brachem
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426
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Shirin Saeedi Bidokhti
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Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection
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NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
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