Theory Foundation of Physics-Enhanced Residual Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Liang, Shixiao, Chen, Wang, Long, Keke, Zhang, Peng, Li, Xiaopeng, Ke, Jintao |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Towards Adversarially Robust Deep Metric Learning
par: Ke, Xiaopeng
Publié: (2025)
par: Ke, Xiaopeng
Publié: (2025)
Physics Enhanced Residual Policy Learning (PERPL) for safety cruising in mixed traffic platooning under actuator and communication delay
par: Long, Keke, et autres
Publié: (2024)
par: Long, Keke, et autres
Publié: (2024)
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction
par: Long, Keke, et autres
Publié: (2023)
par: Long, Keke, et autres
Publié: (2023)
Foundations and Frontiers of Graph Learning Theory
par: Huang, Yu, et autres
Publié: (2024)
par: Huang, Yu, et autres
Publié: (2024)
A Post-Training Enhanced Optimization Approach for Small Language Models
par: Zhai, Keke
Publié: (2024)
par: Zhai, Keke
Publié: (2024)
Progressive Approximation in Deep Residual Networks: Theory and Validation
par: Wang, Wei, et autres
Publié: (2026)
par: Wang, Wei, et autres
Publié: (2026)
Enhancing Linear Attention with Residual Learning
par: Lai, Xunhao, et autres
Publié: (2025)
par: Lai, Xunhao, et autres
Publié: (2025)
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
par: Li, Zihao, et autres
Publié: (2025)
par: Li, Zihao, et autres
Publié: (2025)
Dynamic Universal Approximation Theory: Foundations for Parallelism in Neural Networks
par: Wang, Wei, et autres
Publié: (2024)
par: Wang, Wei, et autres
Publié: (2024)
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
par: Liang, Daojun, et autres
Publié: (2025)
par: Liang, Daojun, et autres
Publié: (2025)
DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting
par: Zhang, Yeran, et autres
Publié: (2026)
par: Zhang, Yeran, et autres
Publié: (2026)
ResidualDroppath: Enhancing Feature Reuse over Residual Connections
par: Park, Sejik
Publié: (2024)
par: Park, Sejik
Publié: (2024)
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction
par: You, Junwei, et autres
Publié: (2024)
par: You, Junwei, et autres
Publié: (2024)
On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning
par: Peng, Ze, et autres
Publié: (2025)
par: Peng, Ze, et autres
Publié: (2025)
Auditing Approximate Machine Unlearning for Differentially Private Models
par: Gu, Yuechun, et autres
Publié: (2025)
par: Gu, Yuechun, et autres
Publié: (2025)
Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding
par: Li, Yizhe, et autres
Publié: (2026)
par: Li, Yizhe, et autres
Publié: (2026)
A Lightweight Learned Cardinality Estimation Model
par: Zhu, Yaoyu, et autres
Publié: (2025)
par: Zhu, Yaoyu, et autres
Publié: (2025)
Attention Sinks and Outliers in Attention Residuals
par: Luo, Haozheng, et autres
Publié: (2026)
par: Luo, Haozheng, et autres
Publié: (2026)
A Vision-Language Pre-training Model-Guided Approach for Mitigating Backdoor Attacks in Federated Learning
par: Gai, Keke, et autres
Publié: (2025)
par: Gai, Keke, et autres
Publié: (2025)
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
par: Zhu, Yun, et autres
Publié: (2024)
par: Zhu, Yun, et autres
Publié: (2024)
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
par: Gu, Shangding, et autres
Publié: (2022)
par: Gu, Shangding, et autres
Publié: (2022)
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
par: Chen, Yile, et autres
Publié: (2024)
par: Chen, Yile, et autres
Publié: (2024)
Residual Q-Learning: Offline and Online Policy Customization without Value
par: Li, Chenran, et autres
Publié: (2023)
par: Li, Chenran, et autres
Publié: (2023)
Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies
par: Shi, Fangzhou, et autres
Publié: (2025)
par: Shi, Fangzhou, et autres
Publié: (2025)
Theory on Mixture-of-Experts in Continual Learning
par: Li, Hongbo, et autres
Publié: (2024)
par: Li, Hongbo, et autres
Publié: (2024)
A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
par: Zhou, Huajun, et autres
Publié: (2025)
par: Zhou, Huajun, et autres
Publié: (2025)
A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation
par: Li, Zhiwei, et autres
Publié: (2025)
par: Li, Zhiwei, et autres
Publié: (2025)
Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics
par: Kainth, Kamalpreet Singh, et autres
Publié: (2025)
par: Kainth, Kamalpreet Singh, et autres
Publié: (2025)
An Augmentation Overlap Theory of Contrastive Learning
par: Zhang, Qi, et autres
Publié: (2025)
par: Zhang, Qi, et autres
Publié: (2025)
Discrete Prototypical Memories for Federated Time Series Foundation Models
par: Deng, Liwei, et autres
Publié: (2026)
par: Deng, Liwei, et autres
Publié: (2026)
An Enhanced Federated Prototype Learning Method under Domain Shift
par: Kuang, Liang, et autres
Publié: (2024)
par: Kuang, Liang, et autres
Publié: (2024)
Parameter Importance-Driven Continual Learning for Foundation Models
par: Wang, Lingxiang, et autres
Publié: (2025)
par: Wang, Lingxiang, et autres
Publié: (2025)
Identifying Sensitive Weights via Post-quantization Integral
par: Hu, Yuezhou, et autres
Publié: (2025)
par: Hu, Yuezhou, et autres
Publié: (2025)
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
par: Bian, Jieming, et autres
Publié: (2025)
par: Bian, Jieming, et autres
Publié: (2025)
Event Fields: Learning Latent Event Structure for Waveform Foundation Models
par: Na, Li, et autres
Publié: (2026)
par: Na, Li, et autres
Publié: (2026)
General Demographic Foundation Models for Enhancing Predictive Performance Across Diseases and Populations
par: Chen, Li-Chin, et autres
Publié: (2025)
par: Chen, Li-Chin, et autres
Publié: (2025)
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
par: Peng, Zhaopeng, et autres
Publié: (2024)
par: Peng, Zhaopeng, et autres
Publié: (2024)
Agnostic Reinforcement Learning: Foundations and Algorithms
par: Li, Gene
Publié: (2025)
par: Li, Gene
Publié: (2025)
Hard-Constrained Neural Networks with Physics-Embedded Architecture for Residual Dynamics Learning and Invariant Enforcement in Cyber-Physical Systems
par: Spotorno, Enzo Nicolás, et autres
Publié: (2025)
par: Spotorno, Enzo Nicolás, et autres
Publié: (2025)
Ablate and Rescue: A Causal Analysis of Residual Stream Hyper-Connections
par: Peng, William, et autres
Publié: (2026)
par: Peng, William, et autres
Publié: (2026)
Documents similaires
-
Towards Adversarially Robust Deep Metric Learning
par: Ke, Xiaopeng
Publié: (2025) -
Physics Enhanced Residual Policy Learning (PERPL) for safety cruising in mixed traffic platooning under actuator and communication delay
par: Long, Keke, et autres
Publié: (2024) -
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction
par: Long, Keke, et autres
Publié: (2023) -
Foundations and Frontiers of Graph Learning Theory
par: Huang, Yu, et autres
Publié: (2024) -
A Post-Training Enhanced Optimization Approach for Small Language Models
par: Zhai, Keke
Publié: (2024)