ADAPTIVE NEURAL NETWORK FOR DISCRETIZATION INVARIANT OPERATOR LEARNING

ADAPTIVE NEURAL NETWORK FOR DISCRETIZATION INVARIANT OPERATOR LEARNING

Ph.D

Saved in:

書目詳細資料
主要作者:	ONG YONG ZHENG
其他作者:	MATHEMATICS
格式:	Theses and Dissertations
語言:	English
出版:	2023
主題:	Deep Learning, Operator Learning, Discretization Invariant, Integral Autoencoder, Forward and Inverse Problems, Predictive Data Science
在線閱讀:	https://scholarbank.nus.edu.sg/handle/10635/246601
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

TRAJECTORY PREDICTION OF DYNAMIC OBSTACLES FOR AUTONOMOUS VEHICLES
由: CHONG YUE LINN
出版: (2020)

A STUDY OF NEURAL NETWORK APPLICATION IN BEATING STOCK INDICES
由: KOU HAN
出版: (2017)

Robust motion planning for multi-robot systems against position deception attacks
由: Tang, Wenbing, et al.
出版: (2024)

OPTIMISE THE NUMERICAL APPROACHES TOWARDS OPTICAL MAMMOGRAPHY
由: LI YANG
出版: (2023)

FORWARD BACKWARD SPLITTING UNROLLING STRATEGIES FOR INVERSE PROBLEMS RESOLUTION
由: NGUYEN PASCAL NGOC TIEN
出版: (2023)

Feature analysis of marginalized stacked denoising autoenconder for unsupervised domain adaptation
由: Wei, Pengfei, et al.
出版: (2021)

Compact codebook generation towards scale-invariance
由: Liu, S., et al.
出版: (2014)

Learning likely invariants to explain why a program fails
由: PHAM, Long H., et al.
出版: (2017)

Towards effective neural topic modeling
由: Wu, Xiaobao
出版: (2025)

RISurConv : Rotation invariant surface attention-augmented convolutions for 3D point cloud classification and segmentation
由: ZHANG, Zhiyuan, et al.
出版: (2024)

Deep heterogeneous autoencoders for Collaborative Filtering
由: Li, Tianyu, et al.
出版: (2020)

Learnable douglas-rachford iteration and its applications in dot imaging
由: Liu, J., et al.
出版: (2021)

INTELLIGENT FAULT DIAGNOSIS WITH DOMAIN ADAPTATION FOR QUADROTOR UAVS
由: LI CHENFEI
出版: (2023)

Multivariate time-series explanations using paths in a time-dependent latent space
由: Tan, Max Han Xian
出版: (2025)

RIConv++: Effective rotation invariant convolutions for 3D point clouds deep learning
由: ZHANG, Zhiyuan, et al.
出版: (2022)

ROBUSTNESS AND UNCERTAINTY ESTIMATION FOR DEEP NEURAL NETWORKS
由: JAY NANDY
出版: (2021)

Win: Weight-decay-integrated nesterov acceleration for adaptive gradient algorithms
由: ZHOU, Pan, et al.
出版: (2023)

Graph attention informer for long-term traffic flow prediction under the impact of sports events
由: Song, Yaofeng, et al.
出版: (2024)

A Learning-to-Rank Based Fault Localization Approach using Likely Invariants
由: LE, Tien-Duy B., et al.
出版: (2016)

TOWARDS LABEL-EFFICIENT DEEP LEARNING ON GRAPH-STRUCTURED DATA
由: ZHOU KUANGQI
出版: (2022)

Simultaneously learning affinity matrix and data representations for machine fault diagnosis
由: Li, Yue, et al.
出版: (2022)

ADAPTIVE COMMUNICATION-EFFICIENT FEDERATED LEARNING ON REAL-WORLD DATA
由: CHEN ZIHAN
出版: (2023)

Automatic loop-invariant generation and refinement through selective sampling
由: LI, Jiaying, et al.
出版: (2017)

An adaptive deep learning neural network model to enhance machine-learning-based classifiers for intrusion detection in smart grids
由: Li, Xue Jun, et al.
出版: (2023)

Deep reinforcement learning for autonomous cyber operation
由: Yong, Hou Zhong
出版: (2024)

DEEP REINFORCEMENT LEARNING FOR SOLVING VEHICLE ROUTING PROBLEMS
由: LI JINGWEN
出版: (2022)

Uniqueness and non-existence theorems for conformally invariant equations
由: Xu, X.
出版: (2014)

On training deep neural networks using a streaming approach
由: Duda, Piotr, et al.
出版: (2020)

Predictive iterative learning control
由: Huang, S.N., et al.
出版: (2014)

Mobile big data analytics using deep learning and Apache Spark
由: Niyato, Dusit, et al.
出版: (2016)

Data augmentation using rotation and shifting
由: Muhammad Haziq Bin Mornin
出版: (2024)

Invariant object recognition using a neural template classifier
由: Tang, H.W., et al.
出版: (2014)

DEEP LEARNING BASED METHODS FOR THE STUDY OF DYNAMICAL SYSTEMS
由: LIN BO
出版: (2021)

A Bidirectional Graph Neural Network for Traveling Salesman Problems on Arbitrary Symmetric Graphs
由: Yujiao Hua, et al.
出版: (2021)

DEEP VISUAL SCENE UNDERSTANDING: CLASSIFICATION, SEGMENTATION AND PREDICTION
由: JIN XIAOJIE
出版: (2018)

The RLR-tree: a reinforcement learning based R-tree for spatial data
由: Gu, Tu, et al.
出版: (2023)

R2FP: Rich and robust feature pooling for mining visual data
由: XIONG, Wei, et al.
出版: (2015)

Quantification of respiratory effort magnitude in spontaneous breathing patients using Convolutional Autoencoders
由: Ang, Christopher Yew Shuen, et al.
出版: (2022)

Exact solutions of nonlinear conformally invariant integral equations in R3
由: Xu, X.
出版: (2014)

On the discrete-time integral sliding-mode control
由: Abidi, K., et al.
出版: (2014)