Saved in:
| Main Authors: | Yang, Hongrong, Schlaepfer, Markus |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.17924 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Learning-Based Forecasting of Hotel KPIs: A Cross-City Analysis of Global Urban Markets
by: Atapattu, C. J., et al.
Published: (2025)
by: Atapattu, C. J., et al.
Published: (2025)
UrbanVerse: Learning Urban Region Representation Across Cities and Tasks
by: Sun, Fengze, et al.
Published: (2026)
by: Sun, Fengze, et al.
Published: (2026)
Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix Generation
by: Chen, Bin, et al.
Published: (2026)
by: Chen, Bin, et al.
Published: (2026)
CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction
by: Sun, Ziyu, et al.
Published: (2024)
by: Sun, Ziyu, et al.
Published: (2024)
Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
by: Zhang, Weijia, et al.
Published: (2024)
by: Zhang, Weijia, et al.
Published: (2024)
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
by: Zou, Xingchen, et al.
Published: (2024)
by: Zou, Xingchen, et al.
Published: (2024)
GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
by: Alihodžić, Adis
Published: (2026)
by: Alihodžić, Adis
Published: (2026)
Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing
by: Yang, Run, et al.
Published: (2025)
by: Yang, Run, et al.
Published: (2025)
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation
by: Li, Zongshuo, et al.
Published: (2024)
by: Li, Zongshuo, et al.
Published: (2024)
One-shot Transfer Learning for Population Mapping
by: Shao, Erzhuo, et al.
Published: (2021)
by: Shao, Erzhuo, et al.
Published: (2021)
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
by: He, Haoyu, et al.
Published: (2024)
by: He, Haoyu, et al.
Published: (2024)
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
by: Tan, Yang, et al.
Published: (2022)
by: Tan, Yang, et al.
Published: (2022)
Deep Heuristic Learning for Real-Time Urban Pathfinding
by: El-Ela, Mohamed Hussein Abo, et al.
Published: (2024)
by: El-Ela, Mohamed Hussein Abo, et al.
Published: (2024)
CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities
by: Liu, Junyuan, et al.
Published: (2026)
by: Liu, Junyuan, et al.
Published: (2026)
Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction
by: Wu, Yucheng, et al.
Published: (2026)
by: Wu, Yucheng, et al.
Published: (2026)
Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement
by: Rajput, Saurabhsingh, et al.
Published: (2023)
by: Rajput, Saurabhsingh, et al.
Published: (2023)
Towards Fine-Grained and Verifiable Concept Bottleneck Models
by: Fang, Yingying, et al.
Published: (2026)
by: Fang, Yingying, et al.
Published: (2026)
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
by: Hwang, Inwoo, et al.
Published: (2024)
by: Hwang, Inwoo, et al.
Published: (2024)
Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning
by: Tang, Yinzhou, et al.
Published: (2025)
by: Tang, Yinzhou, et al.
Published: (2025)
Fine-Tuning ChemBERTa for Predicting Inhibitory Activity Against TDP1 Using Deep Learning
by: Zeng, Baichuan
Published: (2025)
by: Zeng, Baichuan
Published: (2025)
Transfer Learning for Temporal Link Prediction
by: Chatterjee, Ayan, et al.
Published: (2025)
by: Chatterjee, Ayan, et al.
Published: (2025)
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)
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)
by: Park, Young-Jin, et al.
Published: (2024)
FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
by: Weng, Zixuan, et al.
Published: (2026)
by: Weng, Zixuan, et al.
Published: (2026)
Continual Learning for Smart City: A Survey
by: Yang, Li, et al.
Published: (2024)
by: Yang, Li, et al.
Published: (2024)
Radar Pulse Deinterleaving with Transformer Based Deep Metric Learning
by: Gunn, Edward, et al.
Published: (2025)
by: Gunn, Edward, et al.
Published: (2025)
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
by: Xie, Hong Xin, et al.
Published: (2025)
by: Xie, Hong Xin, et al.
Published: (2025)
Grounding Foundation Models through Federated Transfer Learning: A General Framework
by: Kang, Yan, et al.
Published: (2023)
by: Kang, Yan, et al.
Published: (2023)
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
by: Huang, Binghao, et al.
Published: (2024)
by: Huang, Binghao, et al.
Published: (2024)
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
by: Zhang, Qingyue, et al.
Published: (2026)
by: Zhang, Qingyue, et al.
Published: (2026)
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework
by: Chen, Shengchao, et al.
Published: (2024)
by: Chen, Shengchao, et al.
Published: (2024)
Efficient Fine-Grained GPU Performance Modeling for Distributed Deep Learning of LLM
by: Zhang, Biyao, et al.
Published: (2025)
by: Zhang, Biyao, et al.
Published: (2025)
Fast Adaptive Anti-Jamming Channel Access via Deep Q Learning and Coarse-Grained Spectrum Prediction
by: Zhang, Jianshu, et al.
Published: (2025)
by: Zhang, Jianshu, et al.
Published: (2025)
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
by: Hou, Chaoqun, et al.
Published: (2024)
by: Hou, Chaoqun, et al.
Published: (2024)
Toward Reproducible Cross-Backend Compatibility for Deep Learning: A Configuration-First Framework with Three-Tier Verification
by: Li, Zehua
Published: (2025)
by: Li, Zehua
Published: (2025)
A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
by: Solow, William, et al.
Published: (2026)
by: Solow, William, et al.
Published: (2026)
Predicting Air Temperature from Volumetric Urban Morphology with Machine Learning
by: Kıvılcım, Berk, et al.
Published: (2025)
by: Kıvılcım, Berk, et al.
Published: (2025)
Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction
by: Li, Siqi, et al.
Published: (2026)
by: Li, Siqi, et al.
Published: (2026)
A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders
by: Liao, Qianqian, et al.
Published: (2025)
by: Liao, Qianqian, et al.
Published: (2025)
Similar Items
-
Deep Learning-Based Forecasting of Hotel KPIs: A Cross-City Analysis of Global Urban Markets
by: Atapattu, C. J., et al.
Published: (2025) -
UrbanVerse: Learning Urban Region Representation Across Cities and Tasks
by: Sun, Fengze, et al.
Published: (2026) -
Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix Generation
by: Chen, Bin, et al.
Published: (2026) -
CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction
by: Fofanah, Abdul Joseph, et al.
Published: (2026) -
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction
by: Sun, Ziyu, et al.
Published: (2024)