:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Jiayu, Zhao, Zilong, Yee, Kevin, Javaid, Uzair, Sikdar, Biplab
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2409.17021
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TAEGAN: Generating Synthetic Tabular Data For Data Augmentation
by: Li, Jiayu, et al.
Published: (2024)

TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer
by: Li, Jiayu, et al.
Published: (2025)

Laplace Transform Interpretation of Differential Privacy
by: Chourasia, Rishav, et al.
Published: (2024)

IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
by: Li, Jiayu, et al.
Published: (2023)

VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Data
by: Yuan, Xun, et al.
Published: (2024)

Towards Irreversible Machine Unlearning for Diffusion Models
by: Yuan, Xun, et al.
Published: (2025)

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing
by: Kohli, Bhavya, et al.
Published: (2026)

Instruction Tuning of Large Language Models for Tabular Data Generation-in One Day
by: Abdollahzadeh, Milad, et al.
Published: (2025)

Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
by: Iqbal, Asif, et al.
Published: (2024)

VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
by: Yuan, Xun, et al.
Published: (2024)

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
by: Han, Yuning, et al.
Published: (2024)

A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
by: Yuan, Xun, et al.
Published: (2023)

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
by: Li, Wenqiang, et al.
Published: (2023)

Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
by: Li, Yi, et al.
Published: (2026)

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
by: Paulus, Anselm, et al.
Published: (2021)

Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
by: Palit, Sanchar, et al.
Published: (2024)

A Neural-Network-Based Approach for Loose-Fitting Clothing
by: Jin, Yongxu, et al.
Published: (2024)

NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation
by: Li, Qinyu, et al.
Published: (2025)

Semiring Activation in Neural Networks
by: Smets, Bart M. N., et al.
Published: (2024)

Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection
by: Chen, Elynn, et al.
Published: (2026)

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise
by: Zhang, Jiayu, et al.
Published: (2026)

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
by: Zhu, Yuchang, et al.
Published: (2024)

Unified Framework for Qualifying Security Boundary of PUFs Against Machine Learning Attacks
by: Fei, Hongming, et al.
Published: (2026)

Combinations of Fast Activation and Trigonometric Functions in Kolmogorov-Arnold Networks
by: Ta, Hoang-Thang, et al.
Published: (2025)

Learning Neural Networks with Sparse Activations
by: Awasthi, Pranjal, et al.
Published: (2024)

CoRe-Net: Co-Operational Regressor Network with Progressive Transfer Learning for Blind Radar Signal Restoration
by: Zahid, Muhammad Uzair, et al.
Published: (2025)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
by: Zhao, Zilong, et al.
Published: (2024)

Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
by: Gabbouj, Moncef, et al.
Published: (2021)

Towards Greener Nights: Exploring AI-Driven Solutions for Light Pollution Management
by: Varshney, Paras, et al.
Published: (2024)

Incorporating Unlabelled Data into Bayesian Neural Networks
by: Sharma, Mrinank, et al.
Published: (2023)

When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
by: Wu, Haihang, et al.
Published: (2024)

APEX: Probing Neural Networks via Activation Perturbation
by: Ren, Tao, et al.
Published: (2026)

TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
by: Zhao, Tianqi, et al.
Published: (2026)

neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
by: Ortega-Fernandez, Ines, et al.
Published: (2025)

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
by: Lee, Dongwoo, et al.
Published: (2025)

BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial Network
by: Zahid, Muhammad Uzair, et al.
Published: (2024)

High-order Knowledge Based Network Controllability Robustness Prediction: A Hypergraph Neural Network Approach
by: Mo, Shibing, et al.
Published: (2026)

Bayesian Entropy Neural Networks for Physics-Aware Prediction
by: Rathnakumar, Rahul, et al.
Published: (2024)

ArcGate: Adaptive Arctangent Gated Activation
by: Bhattacharya, Avik, et al.
Published: (2026)

Mathematics of Neural Networks (Lecture Notes Graduate Course)
by: Smets, Bart M. N.
Published: (2024)