Saved in:
| Main Authors: | Chen, Li-Chin, Sheu, Ji-Tian, Chuang, Yuh-Jue |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.07330 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis
by: Xu, Ke, et al.
Published: (2024)
by: Xu, Ke, et al.
Published: (2024)
Demographic Predictability in 3D CT Foundation Embeddings
by: Zheng, Guangyao, et al.
Published: (2024)
by: Zheng, Guangyao, et al.
Published: (2024)
Reasoning-Enhanced Large Language Models for Molecular Property Prediction
by: Zhuang, Jiaxi, et al.
Published: (2025)
by: Zhuang, Jiaxi, et al.
Published: (2025)
Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics
by: Akella, Aditya, et al.
Published: (2025)
by: Akella, Aditya, et al.
Published: (2025)
Distilling Time Series Foundation Models for Efficient Forecasting
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction
by: Huang, Guan-Hua, et al.
Published: (2024)
by: Huang, Guan-Hua, et al.
Published: (2024)
Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings
by: Qu, Pengfei, et al.
Published: (2026)
by: Qu, Pengfei, et al.
Published: (2026)
A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
by: Zhou, Huajun, et al.
Published: (2025)
by: Zhou, Huajun, et al.
Published: (2025)
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data
by: Zhu, Xun, et al.
Published: (2025)
by: Zhu, Xun, et al.
Published: (2025)
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
by: Zhao, Chuang, et al.
Published: (2025)
by: Zhao, Chuang, et al.
Published: (2025)
Are Foundation Models Useful for Bankruptcy Prediction?
by: Kostrzewa, Marcin, et al.
Published: (2025)
by: Kostrzewa, Marcin, et al.
Published: (2025)
Towards a Foundation Model for Partial Differential Equations Across Physics Domains
by: Soares, Eduardo, et al.
Published: (2025)
by: Soares, Eduardo, et al.
Published: (2025)
Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings
by: Li, Yubo, et al.
Published: (2025)
by: Li, Yubo, et al.
Published: (2025)
Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
by: Deng, Yongxin, et al.
Published: (2024)
by: Deng, Yongxin, et al.
Published: (2024)
Theory Foundation of Physics-Enhanced Residual Learning
by: Liang, Shixiao, et al.
Published: (2025)
by: Liang, Shixiao, et al.
Published: (2025)
Population Aware Diffusion for Time Series Generation
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges
by: Chen, Liyuan, et al.
Published: (2025)
by: Chen, Liyuan, et al.
Published: (2025)
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem
by: Chin, Samuel J. K., et al.
Published: (2024)
by: Chin, Samuel J. K., et al.
Published: (2024)
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
by: Long, Qingyue, et al.
Published: (2025)
by: Long, Qingyue, et al.
Published: (2025)
Federated Generative Learning with Foundation Models
by: Zhang, Jie, et al.
Published: (2023)
by: Zhang, Jie, et al.
Published: (2023)
Foundations of Schrödinger Bridges for Generative Modeling
by: Tang, Sophia
Published: (2026)
by: Tang, Sophia
Published: (2026)
Learning Causal Graphs at Scale: A Foundation Model Approach
by: Yin, Naiyu, et al.
Published: (2025)
by: Yin, Naiyu, et al.
Published: (2025)
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
by: Zhao, Chuang, et al.
Published: (2025)
by: Zhao, Chuang, et al.
Published: (2025)
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
by: Ahmed, Iftekhar, et al.
Published: (2025)
by: Ahmed, Iftekhar, et al.
Published: (2025)
Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift
by: Brima, Yusuf, et al.
Published: (2026)
by: Brima, Yusuf, et al.
Published: (2026)
Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
by: Zhou, Ya, et al.
Published: (2026)
by: Zhou, Ya, et al.
Published: (2026)
Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology
by: Lin, Yang, et al.
Published: (2024)
by: Lin, Yang, et al.
Published: (2024)
Improving Generalization by Permutation Routing Across Model Copies
by: Kashiwamura, Shuhei, et al.
Published: (2026)
by: Kashiwamura, Shuhei, et al.
Published: (2026)
A Mamba Foundation Model for Time Series Forecasting
by: Ma, Haoyu, et al.
Published: (2024)
by: Ma, Haoyu, et al.
Published: (2024)
Time Series Foundational Models: Their Role in Anomaly Detection and Prediction
by: Shyalika, Chathurangi, et al.
Published: (2024)
by: Shyalika, Chathurangi, et al.
Published: (2024)
Masked EEG Modeling for Driving Intention Prediction
by: Zhou, Jinzhao, et al.
Published: (2024)
by: Zhou, Jinzhao, et al.
Published: (2024)
TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
by: Dongre, Shyam, et al.
Published: (2024)
by: Dongre, Shyam, et al.
Published: (2024)
MIMIC: A Generative Multimodal Foundation Model for Biomolecules
by: Golkar, Siavash, et al.
Published: (2026)
by: Golkar, Siavash, et al.
Published: (2026)
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)
by: Wang, Wenxuan, et al.
Published: (2025)
TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
by: Verma, Abhishek, et al.
Published: (2025)
by: Verma, Abhishek, et al.
Published: (2025)
Generative Distribution Prediction: A Unified Approach to Multimodal Learning
by: Tian, Xinyu, et al.
Published: (2025)
by: Tian, Xinyu, et al.
Published: (2025)
CrowdLLM: Building LLM-Based Digital Populations Augmented with Generative Models
by: Lin, Ryan Feng, et al.
Published: (2025)
by: Lin, Ryan Feng, et al.
Published: (2025)
Similar Items
-
Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis
by: Xu, Ke, et al.
Published: (2024) -
Demographic Predictability in 3D CT Foundation Embeddings
by: Zheng, Guangyao, et al.
Published: (2024) -
Reasoning-Enhanced Large Language Models for Molecular Property Prediction
by: Zhuang, Jiaxi, et al.
Published: (2025) -
Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics
by: Akella, Aditya, et al.
Published: (2025) -
Distilling Time Series Foundation Models for Efficient Forecasting
by: Li, Yuqi, et al.
Published: (2026)