Image de couverture de livre

Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wu, Yuntao, Guo, Jiayuan, Gopalakrishna, Goutham, Poulos, Zissis
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computational Engineering, Finance, and Science Computational Finance I.0; J.4
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Extracting the Structure of Press Releases for Predicting Earnings Announcement Returns
par: Wu, Yuntao, et autres
Publié: (2025)

Multimodal Language Models with Modality-Specific Experts for Financial Forecasting from Interleaved Sequences of Text and Time Series
par: Koval, Ross, et autres
Publié: (2025)

Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News
par: Koval, Ross, et autres
Publié: (2025)

Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation
par: Sarkar, Shailik, et autres
Publié: (2025)

Aligning Multilingual News for Stock Return Prediction
par: Wu, Yuntao, et autres
Publié: (2025)

Neural network based approach for solving problems in plane wave duct acoustics
par: Veerababu, D., et autres
Publié: (2024)

An Open Dataset for Temperature Modelling in Machine Tools
par: Coelho, C., et autres
Publié: (2025)

Statistical Reconstruction For Anisotropic X-ray Dark-Field Tomography
par: Frank, David, et autres
Publié: (2025)

Exploring the Societal and Economic Impacts of Artificial Intelligence: A Scenario Generation Methodology
par: Costa, Carlos J., et autres
Publié: (2025)

Data-Driven Temperature Modelling of Machine Tools by Neural Networks: A Benchmark
par: Coelho, C., et autres
Publié: (2025)

Deep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems
par: Nielsen, Joshua, et autres
Publié: (2024)

PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast Cancer
par: Cignoni, Giacomo, et autres
Publié: (2024)

Data-Driven Differential Evolution in Tire Industry Extrusion: Leveraging Surrogate Models
par: Garate-Perez, Eider, et autres
Publié: (2025)

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction
par: Chudziak, Jarosław A., et autres
Publié: (2025)

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting
par: Wawer, Michał, et autres
Publié: (2025)

Design for Sensing and Digitalisation (DSD): A Modern Approach to Engineering Design
par: Wilke, Daniel N.
Publié: (2025)

Large language models in finance : what is financial sentiment?
par: Kirtac, Kemal, et autres
Publié: (2025)

Generative AI-enhanced Sector-based Investment Portfolio Construction
par: Voronina, Alina, et autres
Publié: (2025)

Advanced Stock Market Prediction Using Long Short-Term Memory Networks: A Comprehensive Deep Learning Framework
par: Chaudhary, Rajneesh
Publié: (2025)

Data-Driven Assessment of Concrete Mixture Compositions on Chloride Transport via Standalone Machine Learning Algorithms
par: Aliasghar-Mamaghani, Mojtaba, et autres
Publié: (2026)

Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences
par: Rubio, Natalia L., et autres
Publié: (2024)

Tiered Super-Moore's Law: Price Evolution, Production Frontiers, and Market Competition in Large Language Model Inference Services
par: Du, Mingdeng
Publié: (2026)

Transversal PACS Browser API: Addressing Interoperability Challenges in Medical Imaging Systems
par: Lameira, Diogo, et autres
Publié: (2024)

Applying Informer for Option Pricing: A Transformer-Based Approach
par: Bańka, Feliks, et autres
Publié: (2025)

Fourier Neural Operators for Two-Phase, 2D Mold-Filling Problems Related to Metal Casting
par: Minete, Edgard Moreira, et autres
Publié: (2025)

A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing
par: Benoit, Alix, et autres
Publié: (2026)

An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke
par: Stessen, Thijs
Publié: (2026)

A Complement to Neural Networks for Anisotropic Inelasticity at Finite Strains
par: Holthusen, Hagen, et autres
Publié: (2025)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
par: Gregnanin, Marco, et autres
Publié: (2026)

Estimation of the Acoustic Field in a Uniform Duct with Mean Flow using Neural Networks
par: Veerababu, D., et autres
Publié: (2025)

Hybrid LSTM and PPO Networks for Dynamic Portfolio Optimization
par: Kevin, Jun, et autres
Publié: (2025)

DDES Study of Confined and Unconfined NACA Wing Sections Using Spectral Elements
par: Kumar, Vishal, et autres
Publié: (2024)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
par: Gregnanin, Marco, et autres
Publié: (2026)

Spectral Element Simulation of Liquid Metal Magnetohydrodynamics
par: Guo, Yichen, et autres
Publié: (2024)

CREATOR Case: PMSM and IM Electric Machine Data for Validation and Benchmarking of Simulation and Modeling Approaches
par: Mütze, Annette, et autres
Publié: (2025)

Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry
par: Hossain, Soaad, et autres
Publié: (2024)

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification
par: Veerababu, D., et autres
Publié: (2025)

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
par: Maczuga, Paweł, et autres
Publié: (2023)

The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach
par: Bešinović, Nikola, et autres
Publié: (2024)

From Metrics to Meaning: Time to Rethink Evaluation in Human-AI Collaborative Design
par: Walton, Sean P., et autres
Publié: (2024)