Network Programming

Network programming focuses on designing and implementing algorithms and architectures for processing information across interconnected nodes, aiming to efficiently solve complex computational problems. Current research emphasizes developing novel network architectures, such as graph neural networks and deep operator networks, and improving existing algorithms through techniques like frequency domain inference and tensor decomposition for faster and more accurate computations. These advancements are significant for diverse applications, including improved recommendation systems, enhanced anomaly detection in network flows, and more accurate causal inference from network data. The field's impact spans various scientific disciplines and practical applications, driving progress in areas like machine learning, signal processing, and social network analysis.

341papers

Papers - Page 17

October 23, 2024

October 22, 2024

October 21, 2024

Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
Marcin Sendera, Amin Sorkhei, Tomasz Kuśmierczyk
Wide Neural Network Functional Prior Network Programming Bayesian Neural Network Complex Posterior

October 20, 2024

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks
Yujia Wu, Bo Yang, Yang Zhao, Elynn Chen, Yuzhou Chen, Zheshi Zheng
Uncertainty Quantification Prediction Uncertainty Network Programming Graph Neural Network Tensor Decomposition

October 18, 2024

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Hao Sui, Bing Chen, Jiale Zhang, Chengcheng Zhu, Di Wu, Qinghua Lu, Guodong Long
Network Programming Graph Neural Graph Backdoor Attack Graph Neural Network Stealthy Backdoor Attack Adversarial Attack Mitigating Backdoor

October 16, 2024

Unveiling the Limits of Alignment: Multi-modal Dynamic Local Fusion Network and A Benchmark for Unaligned RGBT Video Object Detection
Qishun Wang, Zhengzheng Tu, Kunpeng Wang, Le Gu, Chuanwang Guo
Object Detection RGBT Tracking Multi Modal Fusion Multimodal Fusion Network Alignment Problem Network Programming New Benchmark

October 14, 2024

October 13, 2024

Network Programming

Papers - Page 17

Melody Construction for Persian lyrics using LSTM recurrent neural networks

CASCRNet: An Atrous Spatial Pyramid Pooling and Shared Channel Residual based Network for Capsule Endoscopy

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks

Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense

Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks

Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks

CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks

Fairness-Enhancing Ensemble Classification in Water Distribution Networks

Latent Image and Video Resolution Prediction using Convolutional Neural Networks

Unveiling the Limits of Alignment: Multi-modal Dynamic Local Fusion Network and A Benchmark for Unaligned RGBT Video Object Detection

BeniFul: Backdoor Defense via Middle Feature Analysis for Deep Neural Networks

Implementing Derivations of Definite Logic Programs with Self-Attention Networks

Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study

A Scalable Communication Protocol for Networks of Large Language Models

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations

Towards Bridging Generalization and Expressivity of Graph Neural Networks

Towards characterizing the value of edge embeddings in Graph Neural Networks

Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks