:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Hy, Pham, Duy Khoa, Thudumu, Srikanth, Du, Hung, Vasa, Rajesh, Mouzakis, Kon
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2501.14000
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)

Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction
by: Nguyen, Hy, et al.
Published: (2025)

CSAOT: Cooperative Multi-Agent System for Active Object Tracking
by: Nguyen, Hy, et al.
Published: (2025)

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
by: Du, Hung, et al.
Published: (2024)

Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization
by: Nguyen, Hy, et al.
Published: (2025)

The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments
by: Thudumu, Srikanth, et al.
Published: (2025)

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
by: Thudumu, Srikanth, et al.
Published: (2025)

OpenAg: Democratizing Agricultural Intelligence
by: Thudumu, Srikanth, et al.
Published: (2025)

Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study
by: Hackett, Alexander, et al.
Published: (2026)

SeqBattNet: A Discrete-State Physics-Informed Neural Network with Aging Adaptation for Battery Modeling
by: Tran, Khoa, et al.
Published: (2025)

Seven Failure Points When Engineering a Retrieval Augmented Generation System
by: Barnett, Scott, et al.
Published: (2024)

A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models
by: Pham, Duc Hao, et al.
Published: (2026)

A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
by: Tran, Khoa, et al.
Published: (2023)

Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
by: Khan, Tanveer, et al.
Published: (2024)

Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
by: Hussien, Mostafa, et al.
Published: (2024)

RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation
by: Nguyen-Le, Quoc-Bao, et al.
Published: (2024)

LLMs for Test Input Generation for Semantic Caches
by: Rasool, Zafaryab, et al.
Published: (2024)

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
by: Lahoti, Aakash, et al.
Published: (2024)

TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
by: Nguyen, Truong, et al.
Published: (2026)

Variational Quantum Rainbow Deep Q-Network for Optimizing Resource Allocation Problem
by: Nguyen, Truong Thanh Hung, et al.
Published: (2025)

Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks
by: Pham, Phu, et al.
Published: (2023)

MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
by: Nguyen, Thang, et al.
Published: (2024)

Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023)

C2L-Net: A Data-Driven Model for State-of-Charge Estimation of Lithium-Ion Batteries During Discharge
by: Tran, Khoa, et al.
Published: (2026)

Using Synthetic Data to estimate the True Error is theoretically and practically doable
by: Thanh, Hai Hoang, et al.
Published: (2025)

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval
by: Trinh, Tam, et al.
Published: (2025)

xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models
by: Luong, Phung Duc, et al.
Published: (2025)

PenTiDef: Decentralized Federated Intrusion Detection System with Differential Privacy and Latent-Space Defense via Blockchain Coordination in IIoT
by: Duy, Phan The, et al.
Published: (2026)

Neural Quantile Optimization for Edge-Cloud Networking
by: Du, Bin, et al.
Published: (2023)

HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction
by: Tran, Khoa, et al.
Published: (2025)

Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data
by: Nguyen, Duy, et al.
Published: (2025)

DisBeaNet: A Deep Neural Network to augment Unmanned Surface Vessels for maritime situational awareness
by: Vemula, Srikanth, et al.
Published: (2024)

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
by: Nguyen, Cuong V., et al.
Published: (2025)

How Effective Are Neural Networks for Fixing Security Vulnerabilities
by: Wu, Yi, et al.
Published: (2023)

A Novel Framework for Automated Explain Vision Model Using Vision-Language Models
by: Nguyen, Phu-Vinh, et al.
Published: (2025)

SCPL: Enhancing Neural Network Training Throughput with Decoupled Local Losses and Model Parallelism
by: Ho, Ming-Yao, et al.
Published: (2026)

Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving
by: Pham, Hung Cuong, et al.
Published: (2026)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)

Multiscale Physics-Informed Neural Network for Complex Fluid Flows with Long-Range Dependencies
by: Kumar, Prashant, et al.
Published: (2026)