Analytical Discovery of Manifold with Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shen, Yafei, Ma, Huan-Fei, Yang, Ling |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized Category Discovery via Token Manifold Capacity Learning
by: Tang, Luyao, et al.
Published: (2025)
by: Tang, Luyao, et al.
Published: (2025)
Solving PDEs on Unknown Manifolds with Machine Learning
by: Liang, Senwei, et al.
Published: (2021)
by: Liang, Senwei, et al.
Published: (2021)
Error Slice Discovery via Manifold Compactness
by: Yu, Han, et al.
Published: (2025)
by: Yu, Han, et al.
Published: (2025)
ODBAE: a high-performance model identifying complex phenotypes in high-dimensional biological datasets
by: Shen, Yafei, et al.
Published: (2022)
by: Shen, Yafei, et al.
Published: (2022)
Review of Interpretable Machine Learning Models for Disease Prognosis
by: Shen, Jinzhi, et al.
Published: (2024)
by: Shen, Jinzhi, et al.
Published: (2024)
SMIXAE: Towards Unsupervised Manifold Discovery in Language Models
by: Francel, Collin
Published: (2026)
by: Francel, Collin
Published: (2026)
Automated Machine Learning: From Principles to Practices
by: Shen, Zhenqian, et al.
Published: (2018)
by: Shen, Zhenqian, et al.
Published: (2018)
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management
by: Hsieh, Weiche, et al.
Published: (2024)
by: Hsieh, Weiche, et al.
Published: (2024)
Manifold-Aligned Generative Transport
by: Tian, Xinyu, et al.
Published: (2026)
by: Tian, Xinyu, et al.
Published: (2026)
Distributionally Robust Multimodal Machine Learning
by: Yang, Peilin, et al.
Published: (2025)
by: Yang, Peilin, et al.
Published: (2025)
Optimizing Flamelet Generated Manifold Models: A Machine Learning Performance Study
by: Navaei, Reza Lotfi, et al.
Published: (2025)
by: Navaei, Reza Lotfi, et al.
Published: (2025)
A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance
by: Wang, Huan-Chih, et al.
Published: (2024)
by: Wang, Huan-Chih, et al.
Published: (2024)
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics
by: Xie, Tiankai, et al.
Published: (2024)
by: Xie, Tiankai, et al.
Published: (2024)
A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems
by: Zhuang, Pei-Zhi, et al.
Published: (2025)
by: Zhuang, Pei-Zhi, et al.
Published: (2025)
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
by: Ma, Shijie, et al.
Published: (2025)
by: Ma, Shijie, et al.
Published: (2025)
When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Principal Prototype Analysis on Manifold for Interpretable Reinforcement Learning
by: Vamshi, Bodla Krishna, et al.
Published: (2026)
by: Vamshi, Bodla Krishna, et al.
Published: (2026)
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics
by: Cai, Qingpeng, et al.
Published: (2024)
by: Cai, Qingpeng, et al.
Published: (2024)
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
by: Zhong, Zhiqiang, et al.
Published: (2023)
by: Zhong, Zhiqiang, et al.
Published: (2023)
Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning
by: Belacel, Nabil, et al.
Published: (2026)
by: Belacel, Nabil, et al.
Published: (2026)
Learning Degenerate Manifolds of Frustrated Magnets with Boltzmann Machines
by: Jang, Ho, et al.
Published: (2025)
by: Jang, Ho, et al.
Published: (2025)
Procedural Generation of Algorithm Discovery Tasks in Machine Learning
by: Goldie, Alexander D., et al.
Published: (2026)
by: Goldie, Alexander D., et al.
Published: (2026)
Generative Learning of Densities on Manifolds
by: Giovanis, Dimitris G., et al.
Published: (2025)
by: Giovanis, Dimitris G., et al.
Published: (2025)
Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning
by: Robinett, Ryan A., et al.
Published: (2025)
by: Robinett, Ryan A., et al.
Published: (2025)
Deep Manifold Part 1: Anatomy of Neural Network Manifold
by: Ma, Max Y., et al.
Published: (2024)
by: Ma, Max Y., et al.
Published: (2024)
Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures
by: Xin, Yu, et al.
Published: (2025)
by: Xin, Yu, et al.
Published: (2025)
Boosting Data Analytics With Synthetic Volume Expansion
by: Shen, Xiaotong, et al.
Published: (2023)
by: Shen, Xiaotong, et al.
Published: (2023)
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
by: Zhou, Dongzhuoran, et al.
Published: (2024)
by: Zhou, Dongzhuoran, et al.
Published: (2024)
A Fuzzy Logic-Based Framework for Explainable Machine Learning in Big Data Analytics
by: Yesmin, Farjana, et al.
Published: (2025)
by: Yesmin, Farjana, et al.
Published: (2025)
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning
by: Zhao, Ziyu, et al.
Published: (2024)
by: Zhao, Ziyu, et al.
Published: (2024)
Manifold Generalization Provably Proceeds Memorization in Diffusion Models
by: Shen, Zebang, et al.
Published: (2026)
by: Shen, Zebang, et al.
Published: (2026)
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices
by: Chang, Andersen, et al.
Published: (2025)
by: Chang, Andersen, et al.
Published: (2025)
IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation
by: Chen, Zihao, et al.
Published: (2025)
by: Chen, Zihao, et al.
Published: (2025)
PowerGenie: Analytically-Guided Evolutionary Discovery of Superior Reconfigurable Power Converters
by: Gao, Jian, et al.
Published: (2026)
by: Gao, Jian, et al.
Published: (2026)
A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example
by: Wang, Huan-Chih, et al.
Published: (2024)
by: Wang, Huan-Chih, et al.
Published: (2024)
Mapping Uncharted Symmetries: Machine Discovery in Combinatorics
by: Cainelli, Eugenio, et al.
Published: (2026)
by: Cainelli, Eugenio, et al.
Published: (2026)
Causal Feature Selection for Responsible Machine Learning
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
by: Yu, Hanyi, et al.
Published: (2024)
by: Yu, Hanyi, et al.
Published: (2024)
Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)
by: Yu, Yan, et al.
Published: (2025)
Machine Learning for Everyone: Simplifying Healthcare Analytics with BigQuery ML
by: Salari, Mohammad Amir, et al.
Published: (2025)
by: Salari, Mohammad Amir, et al.
Published: (2025)
Similar Items
-
Generalized Category Discovery via Token Manifold Capacity Learning
by: Tang, Luyao, et al.
Published: (2025) -
Solving PDEs on Unknown Manifolds with Machine Learning
by: Liang, Senwei, et al.
Published: (2021) -
Error Slice Discovery via Manifold Compactness
by: Yu, Han, et al.
Published: (2025) -
ODBAE: a high-performance model identifying complex phenotypes in high-dimensional biological datasets
by: Shen, Yafei, et al.
Published: (2022) -
Review of Interpretable Machine Learning Models for Disease Prognosis
by: Shen, Jinzhi, et al.
Published: (2024)