Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning
Physics-informed neural network (PINN) is a data-driven solver for differential equations, providing a unified framework to address…
CrisisViT: A Robust Vision Transformer for Crisis Image Classification
CrisisViT is a robust Vision Transformer for crisis image classification. The paper argues that in emergency situations,…
Pheme: Efficient and Conversational Speech Generation
The article introduces the PHEME model series for efficient and conversational speech generation. Unlike existing models that…
Thousands of AI Authors on the Future of AI
The largest survey of its kind polled 2,778 AI researchers on their predictions for the future of…
Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis
The article discusses a method for understanding following relations in time series data. The authors formalize a…
AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models
The Agent Framework for Shaping Preference and Personality (AFSPP) is introduced as a new approach to shape…
Optimal Chaining of Vehicle Plans with Time Windows
The study focuses on the issue of vehicle routing with time windows, where vehicle plans need to…
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)
The article introduces the MsDC-DEQ-Net, a neural network model designed for image reconstruction using compressive sensing (CS)….
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses
The article introduces a new framework called H2G2-Net, which uses multi-modal physiological signals to predict cognitive states….
Analytically-Driven Resource Management for Cloud-Native Microservices
This paper presents Ursa, a resource management system for cloud-native microservices. Ursa uses an analytical model to…