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An adaptive stochastic linearized augmented Lagrangian method for nonconvex constrained stochastic optimization
期刊论文
MATHEMATICAL PROGRAMMING, 2025
作者:
Zuo, Shiji
;
Wang, Xiao
;
Wang, Hao
Adobe PDF(1115Kb)
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浏览/下载:53/9
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提交时间:2025/03/27
Nonconvex constrained optimization
Stochastic approximation
High probability
Oracle complexity
Global convergence
Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling
会议论文
PROCEEDINGS OF THE 37TH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI 2023, Washington, DC, United states, February 7, 2023 - February 14, 2023
作者:
Ni, Mingze
Adobe PDF(72Kb)
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浏览/下载:447/0
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提交时间:2023/09/08
Artificial intelligence
Natural language processing systems
Deterministic heuristics
Heuristic rules
High probability
High quality
Language processing
Metropolis-Hastings samplings
Natural languages
Processing model
Randomisation
Searching spaces
Fine-Grained Face Sketch-Photo Synthesis with Text-Guided Diffusion Models
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Kitakyushu, Japan, November 5, 2023 - November 8, 2023
作者:
Liu, Jin
;
Huang, Huaibo
;
Cao, Jie
;
Duan, Junxian
;
He, Ran
Adobe PDF(76891Kb)
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浏览/下载:180/2
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提交时间:2024/01/19
Generative adversarial networks
Image processing
Semantics
Signal encoding
Diffusion model
Face sketch-photo synthesis
Fine grained
High quality images
Images synthesis
Network-based
Probability modelling
Text feature
Text-to-image synthesis
Textual description
Adaptive deep density approximation for Fokker-Planck equations
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 457
作者:
Tang, Kejun
;
Wan, Xiaoliang
;
Liao, Qifeng
Adobe PDF(1780Kb)
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浏览/下载:672/220
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提交时间:2022/03/04
Deep learning
Iterative methods
Numerical methods
Probability density function
Stochastic systems
Deep learning
Density approximations
Density estimation
Flow based
Flow-based generative model
Fokker-Planck-equation
Generative model
High-dimensional
Higher-dimensional
Steady state
Flexible Array Probe With In-Plane Differential Multichannels for Inspection of Microdefects on Curved Surface
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 1, 页码: 900-910
作者:
Chaofeng Ye
;
Na Zhang
;
Lei Peng
;
Yu Tao
Adobe PDF(4606Kb)
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浏览/下载:448/0
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提交时间:2021/10/22
Probes
Coils
Blades
Turbines
Inspection
Sensitivity
Sensors
Differential measurement
eddy current testing (ECT)
flexible array probe
multichannels
probability of detection (POD)
Data fusion
Turbine components
Turbomachine blades
3
D finite element method
Background signals
Data fusion methods
Differential scheme
High sensitivity
Parallel Computation
Probability of detection
Structural damages
Just-in-time defect prediction for Android apps via imbalanced deep learning model
会议论文
PROCEEDINGS OF THE ACM SYMPOSIUM ON APPLIED COMPUTING, Virtual, Online, Korea, Republic of, March 22, 2021 - March 26, 2021
作者:
Zhao, Kunsong
;
Xu, Zhou
;
Yan, Meng
;
Tang, Yutian
;
Fan, Ming
Adobe PDF(927Kb)
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浏览/下载:222/0
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提交时间:2021/12/03
Android (operating system)
Deep neural networks
Defects
Forecasting
Just in time production
Learning systems
Class imbalance
Correlation coefficient
Defect prediction
High
level features
Imbalanced Learning
Performance indicators
Prior probability
State of the art
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
会议论文
24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS), ELECTR NETWORK, APR 13-15, 2021
作者:
Ding, Tianyu
;
Zhu, Zhihui
;
Tsakiris, Manolis
;
Vidal, Rene
;
Robinson, Daniel
Adobe PDF(1843Kb)
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浏览/下载:400/0
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提交时间:2021/08/27
Artificial intelligence
Clustering algorithms
Geometry
Probability distributions
Vectors
Clustering methods
Dimensional subspace
High-dimensional
Higher-dimensional
Low dimensional
Normal vector
Principal Components
State of the art
Subspace clustering
Theoretical guarantees
A Mixed Residual Hybrid Method for Failure Probability Estimation
会议论文
THE 40TH CHINESE CONTROL CONFERENCE (CCC2021), Shanghai, PEOPLES R CHINA, December 11, 2022 - December 13, 2022
作者:
Chengbin Yao
;
Jiaming Mei
;
Ke Li
Adobe PDF(4126Kb)
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浏览/下载:248/0
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提交时间:2021/04/20
Numerical methods
Failure Probability
Failure probability estimation
High-dimensional
Hybrid method
Input parameter
Labeled data
MonteCarlo methods
Neural-networks
Numerical scheme
Random input
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