:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhifeng, Wu, Wanxuan, Zeng, Chunyan
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science
Online Access:	https://arxiv.org/abs/2410.11376
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rediscovering Hyperelasticity by Deep Symbolic Regression
by: Abdusalamov, Rasul, et al.
Published: (2025)

Rediscovering the Mullins Effect With Deep Symbolic Regression
by: Abdusalamov, Rasul, et al.
Published: (2024)

τ-Ring: A Smart Ring Platform for Multimodal Physiological and Behavioral Sensing
by: Tang, Jiankai, et al.
Published: (2025)

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery
by: Servia, Miguel Ángel de Carvalho, et al.
Published: (2025)

Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
by: Xu, Wenyan, et al.
Published: (2025)

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity
by: Zhao, Shuai, et al.
Published: (2025)

Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
by: Markidis, Stefano, et al.
Published: (2025)

Physio-DPO: Aligning Large Language Models with the Protein Energy Landscape to Eliminate Structural Hallucinations
by: Meng, QiWei
Published: (2026)

Beyond TVL: An Explainable Risk Scoring Framework for Tokenized Real-World Assets
by: Mafrur, Rischan, et al.
Published: (2026)

Multimodal Fusion with Relational Learning for Molecular Property Prediction
by: Zhou, Zhengyang, et al.
Published: (2024)

GrifFinNet: A Graph-Relation Integrated Transformer for Financial Predictions
by: Dai, Chenlanhui, et al.
Published: (2025)

BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration
by: Lei, Zhenyu, et al.
Published: (2026)

Engineering-Oriented Symbolic Regression: LLMs as Physics Agents for Discovery of Simulation-Ready Constitutive Laws
by: Wu, Yue, et al.
Published: (2026)

Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving
by: Huang, Jiahao, et al.
Published: (2025)

Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration
by: Huang, Cheng, et al.
Published: (2025)

Finetuning Large Language Model as an Effective Symbolic Regressor
by: Hua, Yingfan, et al.
Published: (2025)

Generalizing Unit Commitment Problem Solving via SAT-based Decoupling
by: Zhao, Yuxin, et al.
Published: (2026)

Integrating Generative AI into Financial Market Prediction for Improved Decision Making
by: Che, Chang, et al.
Published: (2024)

Integrating Data Mining and Predictive Modeling Techniques for Enhanced Retail Optimization
by: M, Sri Darshan, et al.
Published: (2024)

Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment
by: Fei, Xiao, et al.
Published: (2025)

An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
by: Tong, Kejian, et al.
Published: (2024)

A Modular LLM Framework for Explainable Price Outlier Detection
by: Sartipi, Shadi, et al.
Published: (2026)

Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators
by: Sarkar, Dibakar Roy, et al.
Published: (2025)

MIGA: Mixture-of-Experts with Group Aggregation for Stock Market Prediction
by: Yu, Zhaojian, et al.
Published: (2024)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
by: Wang, Meiyun, et al.
Published: (2024)

GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection
by: Kadam, Prashank
Published: (2024)

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling
by: Lee, Hyeokmin, et al.
Published: (2026)

S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
by: Lu, Yao, et al.
Published: (2026)

A Lagrangian Conditional Gaussian Koopman Network for Data Assimilation and Prediction
by: Wang, Zhongrui, et al.
Published: (2026)

A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers
by: Stein, Alex, et al.
Published: (2024)

VisFinEval: A Scenario-Driven Chinese Multimodal Benchmark for Holistic Financial Understanding
by: Liu, Zhaowei, et al.
Published: (2025)

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)

Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction
by: Gijón, Alfonso, et al.
Published: (2025)

GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process
by: Wang, Yining, et al.
Published: (2024)

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
by: Zhao, Zhiyuan, et al.
Published: (2023)

From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset
by: Arno, Henri, et al.
Published: (2024)

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

Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
by: Dalen, Shaw
Published: (2025)

SymX: Energy-based Simulation from Symbolic Expressions
by: Fernández-Fernández, José Antonio, et al.
Published: (2023)

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
by: Huang, Jimin, et al.
Published: (2024)