:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Xiao-Xuan, Zhang, Pin, Yu, Hai-Sui, Yin, Zhen-Yu, Sheil, Brian
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science Machine Learning
Online Access:	https://arxiv.org/abs/2407.19074
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Modular Physics for Elastic Simulation
by: Li, Yifei, et al.
Published: (2025)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)

Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
by: Jadoon, Asghar A., et al.
Published: (2025)

Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
by: Calafà, Matteo, et al.
Published: (2024)

Shapley Values: Paired-Sampling Approximations
by: Mayer, Michael, et al.
Published: (2025)

Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
by: Liu, Ning, et al.
Published: (2024)

Elasto-acoustic wave propagation in geophysical media using hybrid high-order methods on general meshes
by: Mottier, Romain, et al.
Published: (2025)

Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
by: Luo, Junliang, et al.
Published: (2025)

Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
by: Yuan, Biao, et al.
Published: (2024)

Discrete Elastic Ribbons: A Unified Discrete Differential Geometry Framework for One-Dimensional Energy Models
by: Panda, Shivam Kumar, et al.
Published: (2026)

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)

AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring
by: Ng, Chun Chet, et al.
Published: (2025)

Tau-BNO: Brain Neural Operator for Tau Transport Model
by: Barron, Nuutti, et al.
Published: (2026)

Cardiac Evidence Backtracking for Eating Behavior Monitoring using Collocative Electrocardiogram Imagining
by: Zhang, Xu-Lu, et al.
Published: (2025)

Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
by: Chen, Dongsheng, et al.
Published: (2025)

Execution Welfare Across Solver-based DEXes
by: Yuminaga, Yuki, et al.
Published: (2025)

Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method
by: Baek, Jonghyuk, et al.
Published: (2023)

Transformer Encoder and Multi-features Time2Vec for Financial Prediction
by: Bui, Nguyen Kim Hai, et al.
Published: (2025)

Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
by: Behroozi, Abdolmehdi, et al.
Published: (2025)

UniFIDES: Universal Fractional Integro-Differential Equation Solvers
by: Saadat, Milad, et al.
Published: (2024)

TabPFN Extensions for Interpretable Geotechnical Modelling
by: Saito, Taiga, et al.
Published: (2026)

Universal Fourier Neural Operators for periodic homogenization problems in linear elasticity
by: Nguyen, Binh Huy, et al.
Published: (2025)

INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers
by: Poddar, Souradip, et al.
Published: (2024)

HDLdebugger: Streamlining HDL debugging with Large Language Models
by: Yao, Xufeng, et al.
Published: (2024)

Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems
by: Rosen, et al.
Published: (2024)

t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
by: Lee, Doksoo, et al.
Published: (2022)

Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch
by: Liang, Hanbing, et al.
Published: (2026)

Learning Latent Hardening (LLH): Enhancing Deep Learning with Domain Knowledge for Material Inverse Problems
by: Tian, Qinyi, et al.
Published: (2025)

A Variational Kolosov--Muskhelishvili Network for Elasticity and Fracture
by: Zhou, Shuwei, et al.
Published: (2026)

Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
by: Wu, Qilong, et al.
Published: (2024)

Guided Diffusion for Fast Inverse Design of Density-based Mechanical Metamaterials
by: Yang, Yanyan, et al.
Published: (2024)

Global Public Sentiment on Decentralized Finance: A Spatiotemporal Analysis of Geo-tagged Tweets from 150 Countries
by: Chen, Yuqi, et al.
Published: (2024)

Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
by: Lei, Yu, et al.
Published: (2025)

Separable Operator Networks
by: Yu, Xinling, et al.
Published: (2024)

RoadFed: A Multimodal Federated Learning System for Improving Road Safety
by: Yuan, Yachao, et al.
Published: (2025)

ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model
by: Fan, Chuanliu, et al.
Published: (2025)

Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events
by: Gu, Jingyi, et al.
Published: (2025)

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
by: Jiao, Yifeng, et al.
Published: (2025)

Neural Operators Can Discover Functional Clusters
by: Li, Yicen, et al.
Published: (2026)