A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Cong, Du, Shuyi, Song, Hongqing, Wang, Yuhe |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Structured Knowledge and Data: A Unified Framework with Finance Applications
by: Cao, Yi, et al.
Published: (2026)
by: Cao, Yi, et al.
Published: (2026)
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
by: Zhang, Bingjie, et al.
Published: (2025)
by: Zhang, Bingjie, et al.
Published: (2025)
Model Merging for Knowledge Editing
by: Fu, Zichuan, et al.
Published: (2025)
by: Fu, Zichuan, et al.
Published: (2025)
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
by: Zhu, Junyi, et al.
Published: (2025)
by: Zhu, Junyi, et al.
Published: (2025)
MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
by: Wang, Jiapeng, et al.
Published: (2026)
by: Wang, Jiapeng, et al.
Published: (2026)
SpatialMAGIC: A Hybrid Framework Integrating Graph Diffusion and Spatial Attention for Spatial Transcriptomics Imputation
by: Zaman, Sayeem Bin, et al.
Published: (2026)
by: Zaman, Sayeem Bin, et al.
Published: (2026)
Integrating Domain Knowledge for handling Limited Data in Offline RL
by: Gangopadhyay, Briti, et al.
Published: (2024)
by: Gangopadhyay, Briti, et al.
Published: (2024)
Data-driven Clustering and Merging of Adapters for On-device Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2026)
by: Bohdal, Ondrej, et al.
Published: (2026)
From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning
by: Feng, Siling, et al.
Published: (2024)
by: Feng, Siling, et al.
Published: (2024)
Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging
by: Su, Guinan, et al.
Published: (2025)
by: Su, Guinan, et al.
Published: (2025)
Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
by: Zhang, Xiyang, et al.
Published: (2026)
by: Zhang, Xiyang, et al.
Published: (2026)
Model Merging via Multi-Teacher Knowledge Distillation
by: Dalili, Seyed Arshan, et al.
Published: (2025)
by: Dalili, Seyed Arshan, et al.
Published: (2025)
Training-free Heterogeneous Model Merging
by: Xu, Zhengqi, et al.
Published: (2024)
by: Xu, Zhengqi, et al.
Published: (2024)
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities
by: Li, Kunxi, et al.
Published: (2024)
by: Li, Kunxi, et al.
Published: (2024)
PSO-Merging: Merging Models Based on Particle Swarm Optimization
by: Zhang, Kehao, et al.
Published: (2025)
by: Zhang, Kehao, et al.
Published: (2025)
Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting
by: Niu, Luyao, et al.
Published: (2025)
by: Niu, Luyao, et al.
Published: (2025)
A Methodological Framework for Measuring Spatial Labeling Similarity
by: Du, Yihang, et al.
Published: (2025)
by: Du, Yihang, et al.
Published: (2025)
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
by: Wang, Hanzhao, et al.
Published: (2025)
by: Wang, Hanzhao, et al.
Published: (2025)
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
by: Qiu, Haomiao, et al.
Published: (2025)
by: Qiu, Haomiao, et al.
Published: (2025)
Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data
by: Farhadloo, Majid, et al.
Published: (2025)
by: Farhadloo, Majid, et al.
Published: (2025)
MIN-Merging: Merge the Important Neurons for Model Merging
by: Liang, Yunfei
Published: (2025)
by: Liang, Yunfei
Published: (2025)
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts
by: Sun, Wenju, et al.
Published: (2025)
by: Sun, Wenju, et al.
Published: (2025)
Cyborg Data: Merging Human with AI Generated Training Data
by: North, Kai, et al.
Published: (2025)
by: North, Kai, et al.
Published: (2025)
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
by: Shindo, Hikaru, et al.
Published: (2024)
by: Shindo, Hikaru, et al.
Published: (2024)
Logic Programming on Knowledge Graph Networks And its Application in Medical Domain
by: Wang, Chuanqing, et al.
Published: (2026)
by: Wang, Chuanqing, et al.
Published: (2026)
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research
by: Lan, Tian, et al.
Published: (2024)
by: Lan, Tian, et al.
Published: (2024)
Dynamic Model Merging Made Slim
by: Du, Guodong, et al.
Published: (2026)
by: Du, Guodong, et al.
Published: (2026)
CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
A Review of Reinforcement Learning in Financial Applications
by: Bai, Yahui, et al.
Published: (2024)
by: Bai, Yahui, et al.
Published: (2024)
The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging
by: Ambekar, Sameer, et al.
Published: (2026)
by: Ambekar, Sameer, et al.
Published: (2026)
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
by: Sun, Wenju, et al.
Published: (2025)
by: Sun, Wenju, et al.
Published: (2025)
MergeIT: From Selection to Merging for Efficient Instruction Tuning
by: Cai, Hongyi, et al.
Published: (2025)
by: Cai, Hongyi, et al.
Published: (2025)
Autonomous Source Knowledge Selection in Multi-Domain Adaptation
by: Li, Keqiuyin, et al.
Published: (2025)
by: Li, Keqiuyin, et al.
Published: (2025)
Sparsity-Aware Evolution for Model Merging
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
by: Sun, Wenju, et al.
Published: (2025)
by: Sun, Wenju, et al.
Published: (2025)
Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
by: Zhu, Wang, et al.
Published: (2024)
by: Zhu, Wang, et al.
Published: (2024)
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World
by: Zheng, Yu
Published: (2025)
by: Zheng, Yu
Published: (2025)
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
by: Du, Xia, et al.
Published: (2025)
by: Du, Xia, et al.
Published: (2025)
Similar Items
-
Bridging Structured Knowledge and Data: A Unified Framework with Finance Applications
by: Cao, Yi, et al.
Published: (2026) -
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
by: Zhang, Bingjie, et al.
Published: (2025) -
Model Merging for Knowledge Editing
by: Fu, Zichuan, et al.
Published: (2025) -
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
by: Zhu, Junyi, et al.
Published: (2025) -
MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
by: Wang, Jiapeng, et al.
Published: (2026)