Neural Network

Neural networks are computational models inspired by the structure and function of the brain, primarily aimed at approximating complex functions and solving diverse problems through learning from data. Current research emphasizes improving efficiency and robustness, exploring novel architectures like sinusoidal neural fields and hybrid models combining neural networks with radial basis functions, as well as developing methods for understanding and manipulating the internal representations learned by these networks, such as through hyper-representations of network weights. These advancements are driving progress in various fields, including computer vision, natural language processing, and scientific modeling, by enabling more accurate, efficient, and interpretable AI systems.

3917papers

Papers - Page 6

March 12, 2025

Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
Jialiang Geng, George Michailidis
University of California
Neural Network Change Point Signal Processing Change Point Detection Neural Topic
Mapping fMRI Signal and Image Stimuli in an Artificial Neural Network Latent Space: Bringing Artificial and Natural Minds Together
Cesare Maria Dalbagno, Manuel de Castro Ribeiro Jardim, Mihnea Angheluţă
Human Mind Neural Network Visual Stimulus Latent Space Representation Functional Magnetic Resonance Imaging Latent Space Representational Similarity
Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset
Yonas Tefera, Quinten Van Baelen, Maarten Meire, Stijn Luca, Peter Karsmakers
KU Leuven●Addis Ababa University●Ghent University
Constrained Problem Application Proficiency State of Health Constrained Gradient Neural Network Self Consistent Constraint Constraint Learning
Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
Sehwan Kim, Rui Wang, Wenbin Lu
Harvard Pilgrim Health Care Institute and Harvard Medical School●Harvard School of Public Health●North Carolina State University
Neural Network Proportional Hazard Self Consistency Time to Event Data Survival Function
Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks
Idris Zakariyya, Ferheen Ayaz, Mounia Kharbouche-Harrari, Jeremy Singer, Sye Loong Keoh, Danilo Pau, José Cano
University of Glasgow●University of London●STMicroelectronics
Adversarial Attack White Box Adversarial Attack DNN Architecture Neural Network Quantitative Analysis

March 11, 2025

Neural Learning Rules from Associative Networks Theory
Daniele Lotito
Neural Network Learning Rule Associative Memory Associative Recall Neural Dynamic
HERO: Human Reaction Generation from Videos
Chengjun Yu, Wei Zhai, Yuhang Yang, Yang Cao, Zheng-Jun Zha
University of Science and Technology of China●Institute of Artificial Intelligence
Interactive AI Human Reaction Gameplay Video Neural Network
Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach
Chao Zhou, Wei Pu, Miguel Rodrigues
University College London●University of Electronic Science and Technology of China
Object Based Spatial Unmixing Model Spectral Unmixing Sparse Unmixing Neural Network Constructive Approach
Physics-based AI methodology for Material Parameter Extraction from Optical Data
M. Koumans, J.L.M. van Mechelen (Eindhoven University of Technology)
Eindhoven University of Technology
Material Science Artificial Intelligence Fiber Fault Neural Network Spectroscopic Data Physic Informed Neural Network

March 10, 2025

Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Yanis Basso-Bert, Anca Molnos, Romain Lemaire, William Guicquero, Antoine Dupret
Univ. Grenoble Alpes●CEA
Neural Network Class Incremental Learning Network Programming Binary Neural Network Continual LEArning Incremental Learning Experience Replay
Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data
Mengbing Liu, Xin Li, Jiancheng An, Chau Yuen
Synthetic Aperture Radar Metasurface Design Neural Network Terrain Classification Nondeterministic Stack Remote Sensing
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation
Guanghao Li, Mingzhi Chen, Hao Yu, Shuting Dong, Wenhao Jiang, Ming Tang, Chun Yuan
Tsinghua University●Southern University of Science and Technology●Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)
Learning Based Denoising Denoising Model Adversarial Perturbation Strategic Manipulation Neural Network Long Term Cooperation Adversarial Attack Semantic Description

March 8, 2025

Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble
Zongren Zou, Zhicheng Wang, George Em Karniadakis
Brown University
Physic Informed Neural Network Random Initialization Deep Ensemble Model Multiplicity Numerical Solver Multiple Solution LeArning Abstract Neural Network Numerical Experiment
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction
Bojan Lukić
Clausthal University of Technology
Long Short Term Memory Deep Recurrent Neural Network Recurrent Neural Network Machine Learning Time Series Prediction Human Prediction Neural Network

March 7, 2025

Uncertainty Quantification From Scaling Laws in Deep Neural Networks
Ibrahim Elsharkawy, Yonatan Kahn, Benjamin Hooberman
University of Illinois Urbana-Champaign●University of Toronto●Vector Institute
Width Network Scaling Law Deep Neural Network Uncertainty Quantification Neural Network
SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs
Jaewoo Song, Fangzhen Lin
Low Bit Quantization Quantization Technique Single GPU INT4 Quantization Large Language Model Neural Network
THE-SEAN: A Heart Rate Variation-Inspired Temporally High-Order Event-Based Visual Odometry with Self-Supervised Spiking Event Accumulation Networks
Chaoran Xiong, Litao Wei, Kehui Ma, Zhen Sun, Yan Xiang, Zihan Nan, Trieu-Kien Truong, Ling Pei
Shanghai Jiao Tong University●Beijing Institute of Aerospace Control Devices●isu.edu.tw
Visual Odometry Network Programming Neural Network Heart Rate Temporal Order

March 6, 2025

IDInit: A Universal and Stable Initialization Method for Neural Network Training
Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
Harbin Institute of Technology●The Chinese University of Hong Kong●The Hong Kong Polytechnic University●MetaAI●Fudan University●Shanghai...+1
Initialization Bias Robust Initialization Neural Network Small Initialization Training Data Similarity Matrix
Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks
Manuel Santos Pereira, Luís Tripa, Nélson Lima, Francisco Caldas, Cláudia Soares
NOVA School of Science and Technology●Universidade de Coimbra
Solution Path Chaotic System Physic Informed Neural Network Neural Network Restricted Three Body Problem Orbital Motion
Precoder Learning for Weighted Sum Rate Maximization
Mingyu Deng, Shengqian Han
Beihang University
Neural Network Rate Maximization Precoding Matrix

Neural Network

Papers - Page 6

Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data

Mapping fMRI Signal and Image Stimuli in an Artificial Neural Network Latent Space: Bringing Artificial and Natural Minds Together

Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset

Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data

Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks

Neural Learning Rules from Associative Networks Theory

HERO: Human Reaction Generation from Videos

Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach

Physics-based AI methodology for Material Parameter Extraction from Optical Data

Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks

Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data

MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation

Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble

Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction

Uncertainty Quantification From Scaling Laws in Deep Neural Networks

SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs

THE-SEAN: A Heart Rate Variation-Inspired Temporally High-Order Event-Based Visual Odometry with Self-Supervised Spiking Event Accumulation Networks

IDInit: A Universal and Stable Initialization Method for Neural Network Training

Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks

Precoder Learning for Weighted Sum Rate Maximization