Enregistré dans:
| Auteurs principaux: | Cha, Jinho, Han, Sahng-Min, Pham, Long |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2510.05487 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Smart Contract Adoption in Derivative Markets under Bounded Risk: An Optimization Approach
par: Cha, Jinho, et autres
Publié: (2025)
par: Cha, Jinho, et autres
Publié: (2025)
Smart Contract-Enabled Procurement under Bounded Demand Variability: A Truncated Normal Approach
par: Cha, Jinho, et autres
Publié: (2025)
par: Cha, Jinho, et autres
Publié: (2025)
Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
par: Zhang, Yixuan, et autres
Publié: (2025)
par: Zhang, Yixuan, et autres
Publié: (2025)
Inverse Portfolio Optimization with Synthetic Investor Data: Recovering Risk Preferences under Uncertainty
par: Cha, Jinho, et autres
Publié: (2025)
par: Cha, Jinho, et autres
Publié: (2025)
Discrete Flow Matching Policy Optimization
par: Su, Maojiang, et autres
Publié: (2026)
par: Su, Maojiang, et autres
Publié: (2026)
Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
par: Choudhary, Himanshu, et autres
Publié: (2025)
par: Choudhary, Himanshu, et autres
Publié: (2025)
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
par: Huang, Rui, et autres
Publié: (2024)
par: Huang, Rui, et autres
Publié: (2024)
FOSSIL: Regret-Minimizing Curriculum Learning for Metadata-Free and Low-Data Mpox Diagnosis
par: Han, Sahng-Min, et autres
Publié: (2025)
par: Han, Sahng-Min, et autres
Publié: (2025)
Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
par: Adebiyi, Taiwo A., et autres
Publié: (2024)
par: Adebiyi, Taiwo A., et autres
Publié: (2024)
Mean-field neural networks-based algorithms for McKean-Vlasov control problems *
par: Pham, Huyên, et autres
Publié: (2022)
par: Pham, Huyên, et autres
Publié: (2022)
SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications
par: Goel, Abhinav, et autres
Publié: (2026)
par: Goel, Abhinav, et autres
Publié: (2026)
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
par: Wasi, Azmine Toushik, et autres
Publié: (2024)
par: Wasi, Azmine Toushik, et autres
Publié: (2024)
Constraining Generative Models for Engineering Design with Negative Data
par: Regenwetter, Lyle, et autres
Publié: (2023)
par: Regenwetter, Lyle, et autres
Publié: (2023)
Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
par: Kim, Namhyoung, et autres
Publié: (2026)
par: Kim, Namhyoung, et autres
Publié: (2026)
Discrete Elastic Ribbons: A Unified Discrete Differential Geometry Framework for One-Dimensional Energy Models
par: Panda, Shivam Kumar, et autres
Publié: (2026)
par: Panda, Shivam Kumar, et autres
Publié: (2026)
Physics-Informed Machine Learning for Smart Additive Manufacturing
par: Sharma, Rahul, et autres
Publié: (2024)
par: Sharma, Rahul, et autres
Publié: (2024)
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
par: Cheng, Qishuo, et autres
Publié: (2024)
par: Cheng, Qishuo, et autres
Publié: (2024)
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
par: Arsene, Corneliu, et autres
Publié: (2023)
par: Arsene, Corneliu, et autres
Publié: (2023)
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
par: Park, Junghoon Justin, et autres
Publié: (2025)
par: Park, Junghoon Justin, et autres
Publié: (2025)
Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling
par: Buehler, Hans, et autres
Publié: (2025)
par: Buehler, Hans, et autres
Publié: (2025)
A Per-Component Diagnostic Protocol for Neural HJB-PIDE Solvers under Control-Dependent Lévy Jumps
par: Drissi, R.
Publié: (2026)
par: Drissi, R.
Publié: (2026)
Volatility Surface Reconstruction using Deep Learning under No-Arbitrage Constraints
par: Manzi, Pablo Rodriguez
Publié: (2026)
par: Manzi, Pablo Rodriguez
Publié: (2026)
AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective
par: Liu, Yadi, et autres
Publié: (2025)
par: Liu, Yadi, et autres
Publié: (2025)
Projection-based multifidelity linear regression for data-scarce applications
par: Sella, Vignesh, et autres
Publié: (2025)
par: Sella, Vignesh, et autres
Publié: (2025)
Integrating Large Language Models and Reinforcement Learning for Sentiment-Driven Quantitative Trading
par: Long, Wo, et autres
Publié: (2025)
par: Long, Wo, et autres
Publié: (2025)
Comparing Normalization Methods for Portfolio Optimization with Reinforcement Learning
par: Costa, Caio de Souza Barbosa, et autres
Publié: (2025)
par: Costa, Caio de Souza Barbosa, et autres
Publié: (2025)
From Rattle to Roar: Optimizer Showdown for MambaStock on S&P 500
par: Chan, Alena, et autres
Publié: (2025)
par: Chan, Alena, et autres
Publié: (2025)
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
par: Li, Yuante, et autres
Publié: (2025)
par: Li, Yuante, et autres
Publié: (2025)
Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series
par: Cortesi, Federico Vittorio, et autres
Publié: (2026)
par: Cortesi, Federico Vittorio, et autres
Publié: (2026)
Estimating the Unobservable Components of Electricity Demand Response with Inverse Optimization
par: Esteban-Perez, Adrian, et autres
Publié: (2024)
par: Esteban-Perez, Adrian, et autres
Publié: (2024)
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review
par: Ericson, Lars, et autres
Publié: (2024)
par: Ericson, Lars, et autres
Publié: (2024)
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt
par: Feng, Pengbin, et autres
Publié: (2024)
par: Feng, Pengbin, et autres
Publié: (2024)
Reinforcement Learning for Corporate Bond Trading: A Sell Side Perspective
par: Atkins, Samuel, et autres
Publié: (2024)
par: Atkins, Samuel, et autres
Publié: (2024)
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
par: Nobari, Amin Heyrani, et autres
Publié: (2025)
par: Nobari, Amin Heyrani, et autres
Publié: (2025)
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
par: Puoti, Francesco, et autres
Publié: (2025)
par: Puoti, Francesco, et autres
Publié: (2025)
Inverse design of Non-parameterized Ventilated Acoustic Resonator via Variational Autoencoder with Acoustic Response-encoded Latent Space
par: Cho, Min Woo, et autres
Publié: (2024)
par: Cho, Min Woo, et autres
Publié: (2024)
Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning
par: Fan, Yuxin, et autres
Publié: (2024)
par: Fan, Yuxin, et autres
Publié: (2024)
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
par: Khubiev, Kasymkhan, et autres
Publié: (2025)
par: Khubiev, Kasymkhan, et autres
Publié: (2025)
Nansde-net: A neural sde framework for generating time series with memory
par: Ozai, Hiromu, et autres
Publié: (2026)
par: Ozai, Hiromu, et autres
Publié: (2026)
A three-step machine learning approach to predict market bubbles with financial news
par: Atsiwo, Abraham
Publié: (2025)
par: Atsiwo, Abraham
Publié: (2025)
Documents similaires
-
Smart Contract Adoption in Derivative Markets under Bounded Risk: An Optimization Approach
par: Cha, Jinho, et autres
Publié: (2025) -
Smart Contract-Enabled Procurement under Bounded Demand Variability: A Truncated Normal Approach
par: Cha, Jinho, et autres
Publié: (2025) -
Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
par: Zhang, Yixuan, et autres
Publié: (2025) -
Inverse Portfolio Optimization with Synthetic Investor Data: Recovering Risk Preferences under Uncertainty
par: Cha, Jinho, et autres
Publié: (2025) -
Discrete Flow Matching Policy Optimization
par: Su, Maojiang, et autres
Publié: (2026)