Saved in:
| Main Authors: | Zhang, Jianxin, Jiang, Lianzi, Han, Xinyu, Wang, Xiangrong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.06690 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Physics Prior-Guided Dual-Stream Attention Network for Motion Prediction of Elastic Bragg Breakwaters
by: Jiang, Lianzi, et al.
Published: (2025)
by: Jiang, Lianzi, et al.
Published: (2025)
A Novel Framework for Significant Wave Height Prediction based on Adaptive Feature Extraction Time-Frequency Network
by: Zhang, Jianxin, et al.
Published: (2025)
by: Zhang, Jianxin, et al.
Published: (2025)
Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
by: Luo, Yi, et al.
Published: (2025)
by: Luo, Yi, et al.
Published: (2025)
Pattern of Wave Height Changes Around of Pontoon's Floating Breakwater
by: Rezaie Mazyak, A., et al.
Published: (2017)
by: Rezaie Mazyak, A., et al.
Published: (2017)
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
by: Wang, Zichen, et al.
Published: (2024)
by: Wang, Zichen, et al.
Published: (2024)
Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction
by: Hossain, Emam, et al.
Published: (2025)
by: Hossain, Emam, et al.
Published: (2025)
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
by: Cai, Ruichu, et al.
Published: (2024)
by: Cai, Ruichu, et al.
Published: (2024)
The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
by: Xie, Jianxin, et al.
Published: (2024)
by: Xie, Jianxin, et al.
Published: (2024)
Ascend HiFloat8 Format for Deep Learning
by: Luo, Yuanyong, et al.
Published: (2024)
by: Luo, Yuanyong, et al.
Published: (2024)
SSL Framework for Causal Inconsistency between Structures and Representations
by: Chen, Hang, et al.
Published: (2023)
by: Chen, Hang, et al.
Published: (2023)
AMS-QUANT: Adaptive Mantissa Sharing for Floating-point Quantization
by: Lv, Mengtao, et al.
Published: (2025)
by: Lv, Mengtao, et al.
Published: (2025)
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects
by: Chen, Juhua, et al.
Published: (2025)
by: Chen, Juhua, et al.
Published: (2025)
Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training
by: Nikolić, Miloš, et al.
Published: (2022)
by: Nikolić, Miloš, et al.
Published: (2022)
Learning Causal States Under Partial Observability and Perturbation
by: Li, Na, et al.
Published: (2025)
by: Li, Na, et al.
Published: (2025)
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
by: Jiang, Manrui, et al.
Published: (2026)
by: Jiang, Manrui, et al.
Published: (2026)
Saliency-Aware Regularized Graph Neural Network
by: Pei, Wenjie, et al.
Published: (2024)
by: Pei, Wenjie, et al.
Published: (2024)
SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression
by: Lin, Zehang, et al.
Published: (2026)
by: Lin, Zehang, et al.
Published: (2026)
LOHA: Direct Graph Spectral Contrastive Learning Between Low-pass and High-pass Views
by: Zou, Ziyun, et al.
Published: (2025)
by: Zou, Ziyun, et al.
Published: (2025)
A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning
by: Du, Honglin, et al.
Published: (2026)
by: Du, Honglin, et al.
Published: (2026)
KEPLA: A Knowledge-Enhanced Deep Learning Framework for Accurate Protein-Ligand Binding Affinity Prediction
by: Liu, Han, et al.
Published: (2025)
by: Liu, Han, et al.
Published: (2025)
Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
by: Yang, Xiaojie, et al.
Published: (2025)
by: Yang, Xiaojie, et al.
Published: (2025)
Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
by: Zheng, Junjing, et al.
Published: (2025)
by: Zheng, Junjing, et al.
Published: (2025)
Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation
by: Gao, Erdun, et al.
Published: (2025)
by: Gao, Erdun, et al.
Published: (2025)
A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)
by: Gu, Hankang, et al.
Published: (2025)
A Transfer Learning Framework for Multilayer Networks via Model Averaging
by: Qiu, Yongqin, et al.
Published: (2025)
by: Qiu, Yongqin, et al.
Published: (2025)
Cluster-Aware Attention-Based Deep Reinforcement Learning for Pickup and Delivery Problems
by: Wang, Wentao, et al.
Published: (2026)
by: Wang, Wentao, et al.
Published: (2026)
APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction
by: Sun, Yifan, et al.
Published: (2026)
by: Sun, Yifan, et al.
Published: (2026)
A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM
by: Zhang, Yongan, et al.
Published: (2024)
by: Zhang, Yongan, et al.
Published: (2024)
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
by: Chen, Tianyu, et al.
Published: (2025)
by: Chen, Tianyu, et al.
Published: (2025)
A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data
by: Bao, Qiuliuyang, et al.
Published: (2025)
by: Bao, Qiuliuyang, et al.
Published: (2025)
MoMa: A Modular Deep Learning Framework for Material Property Prediction
by: Wang, Botian, et al.
Published: (2025)
by: Wang, Botian, et al.
Published: (2025)
A Climate-Aware Deep Learning Framework for Generalizable Epidemic Forecasting
by: Hong, Jinpyo, et al.
Published: (2025)
by: Hong, Jinpyo, et al.
Published: (2025)
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
by: He, Zhuo, et al.
Published: (2025)
by: He, Zhuo, et al.
Published: (2025)
Causal Deep Learning
by: Berrevoets, Jeroen, et al.
Published: (2023)
by: Berrevoets, Jeroen, et al.
Published: (2023)
Causally-Aware Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2024)
by: Shen, Zongxin, et al.
Published: (2024)
FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction
by: Zhou, Chengyang, et al.
Published: (2026)
by: Zhou, Chengyang, et al.
Published: (2026)
Peeking Behind the Curtains of Residual Learning
by: Zhang, Tunhou, et al.
Published: (2024)
by: Zhang, Tunhou, et al.
Published: (2024)
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
by: Cheng, Yuxiao, et al.
Published: (2025)
by: Cheng, Yuxiao, et al.
Published: (2025)
MTS: A Deep Reinforcement Learning Portfolio Management Framework with Time-Awareness and Short-Selling
by: Gu, Fengchen, et al.
Published: (2025)
by: Gu, Fengchen, et al.
Published: (2025)
Learning by Analogy: A Causal Framework for Composition Generalization
by: Kong, Lingjing, et al.
Published: (2025)
by: Kong, Lingjing, et al.
Published: (2025)
Similar Items
-
A Physics Prior-Guided Dual-Stream Attention Network for Motion Prediction of Elastic Bragg Breakwaters
by: Jiang, Lianzi, et al.
Published: (2025) -
A Novel Framework for Significant Wave Height Prediction based on Adaptive Feature Extraction Time-Frequency Network
by: Zhang, Jianxin, et al.
Published: (2025) -
Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
by: Luo, Yi, et al.
Published: (2025) -
Pattern of Wave Height Changes Around of Pontoon's Floating Breakwater
by: Rezaie Mazyak, A., et al.
Published: (2017) -
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
by: Wang, Zichen, et al.
Published: (2024)