Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Nairui, He, Fang, Tang, Xindi, Wang, Yineng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Retrieval-Enhanced Transformer for Multi-Step Port-of-Call Sequence Prediction in Global Liner Shipping
por: Su, Yanzhao, et al.
Publicado: (2026)
por: Su, Yanzhao, et al.
Publicado: (2026)
Few-Shot Learning for Dynamic Operations of Automated Electric Taxi Fleets under Evolving Charging Infrastructure: A Meta-Deep Reinforcement Learning Approach
por: Li, Xiaozhuang, et al.
Publicado: (2026)
por: Li, Xiaozhuang, et al.
Publicado: (2026)
Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
por: Si, Jinhua, et al.
Publicado: (2023)
por: Si, Jinhua, et al.
Publicado: (2023)
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
por: Qiao, Zhongzheng, et al.
Publicado: (2026)
por: Qiao, Zhongzheng, et al.
Publicado: (2026)
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits
por: Duong, Thang, et al.
Publicado: (2025)
por: Duong, Thang, et al.
Publicado: (2025)
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
por: Liu, Qinshuo, et al.
Publicado: (2024)
por: Liu, Qinshuo, et al.
Publicado: (2024)
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
por: Hägele, Alexander, et al.
Publicado: (2024)
por: Hägele, Alexander, et al.
Publicado: (2024)
Beyond Accuracy: A Stability-Aware Metric for Multi-Horizon Forecasting
por: Ma, Chutian, et al.
Publicado: (2026)
por: Ma, Chutian, et al.
Publicado: (2026)
Leveraging Duration Pseudo-Embeddings in Multilevel LSTM and GCN Hypermodels for Outcome-Oriented PPM
por: Wang, Fang, et al.
Publicado: (2025)
por: Wang, Fang, et al.
Publicado: (2025)
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models
por: Wang, Xindi, et al.
Publicado: (2024)
por: Wang, Xindi, et al.
Publicado: (2024)
Conformal Prediction and Trustworthy AI
por: Bellotti, Anthony, et al.
Publicado: (2025)
por: Bellotti, Anthony, et al.
Publicado: (2025)
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
por: Wang, Yanlong, et al.
Publicado: (2024)
por: Wang, Yanlong, et al.
Publicado: (2024)
VoyagerVision: Investigating the Role of Multi-modal Information for Open-ended Learning Systems
por: Smyth, Ethan, et al.
Publicado: (2025)
por: Smyth, Ethan, et al.
Publicado: (2025)
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks
por: Özgür, Fikrican, et al.
Publicado: (2025)
por: Özgür, Fikrican, et al.
Publicado: (2025)
Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers
por: Ortigossa, Evandro S., et al.
Publicado: (2026)
por: Ortigossa, Evandro S., et al.
Publicado: (2026)
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
por: Shao, Zezhi, et al.
Publicado: (2023)
por: Shao, Zezhi, et al.
Publicado: (2023)
A Multi-Task Learning Approach to Linear Multivariate Forecasting
por: Nochumsohn, Liran, et al.
Publicado: (2025)
por: Nochumsohn, Liran, et al.
Publicado: (2025)
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
por: Chen, Peng, et al.
Publicado: (2024)
por: Chen, Peng, et al.
Publicado: (2024)
Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
por: Zhang, Zifan, et al.
Publicado: (2025)
por: Zhang, Zifan, et al.
Publicado: (2025)
Basis Transformers for Multi-Task Tabular Regression
por: Loh, Wei Min, et al.
Publicado: (2025)
por: Loh, Wei Min, et al.
Publicado: (2025)
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
por: Liu, Yong, et al.
Publicado: (2023)
por: Liu, Yong, et al.
Publicado: (2023)
Set Prediction for Next-Day Active Fire Forecasting
por: Bai, Yuchen, et al.
Publicado: (2026)
por: Bai, Yuchen, et al.
Publicado: (2026)
Integrating the Expected Future in Load Forecasts with Contextually Enhanced Transformer Models
por: Theiler, Raffael, et al.
Publicado: (2024)
por: Theiler, Raffael, et al.
Publicado: (2024)
Transformer Multivariate Forecasting: Less is More?
por: Xu, Jingjing, et al.
Publicado: (2023)
por: Xu, Jingjing, et al.
Publicado: (2023)
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
por: Faulkner, Stefan, et al.
Publicado: (2026)
por: Faulkner, Stefan, et al.
Publicado: (2026)
T-Graphormer: Using Transformers for Spatiotemporal Forecasting
por: Bai, Hao Yuan, et al.
Publicado: (2025)
por: Bai, Hao Yuan, et al.
Publicado: (2025)
DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters
por: Zhang, Haoran, et al.
Publicado: (2026)
por: Zhang, Haoran, et al.
Publicado: (2026)
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction
por: Yue, Ling, et al.
Publicado: (2024)
por: Yue, Ling, et al.
Publicado: (2024)
A Unified Framework for Next-Gen Urban Forecasting via LLM-driven Dependency Retrieval and GeoTransformer
por: Jia, Yuhao, et al.
Publicado: (2024)
por: Jia, Yuhao, et al.
Publicado: (2024)
Multi-resolution Time-Series Transformer for Long-term Forecasting
por: Zhang, Yitian, et al.
Publicado: (2023)
por: Zhang, Yitian, et al.
Publicado: (2023)
IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
por: Harkati, Aymane, et al.
Publicado: (2026)
por: Harkati, Aymane, et al.
Publicado: (2026)
Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
por: Hu, Yifan, et al.
Publicado: (2025)
por: Hu, Yifan, et al.
Publicado: (2025)
TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting
por: Liu, Zhipeng, et al.
Publicado: (2025)
por: Liu, Zhipeng, et al.
Publicado: (2025)
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
por: Fan, Ziqing, et al.
Publicado: (2024)
por: Fan, Ziqing, et al.
Publicado: (2024)
Federated Multi-Task Clustering
por: Dai, Suyan, et al.
Publicado: (2025)
por: Dai, Suyan, et al.
Publicado: (2025)
Beyond Centralization: Provable Communication Efficient Decentralized Multi-Task Learning
por: Kang, Donghwa, et al.
Publicado: (2025)
por: Kang, Donghwa, et al.
Publicado: (2025)
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting
por: Zhou, Ziyu, et al.
Publicado: (2025)
por: Zhou, Ziyu, et al.
Publicado: (2025)
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
por: Zhang, Yifan, et al.
Publicado: (2023)
por: Zhang, Yifan, et al.
Publicado: (2023)
Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting
por: Liu, Senhao, et al.
Publicado: (2025)
por: Liu, Senhao, et al.
Publicado: (2025)
Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access
por: Perez-Adan, Darian, et al.
Publicado: (2026)
por: Perez-Adan, Darian, et al.
Publicado: (2026)
Ejemplares similares
-
A Retrieval-Enhanced Transformer for Multi-Step Port-of-Call Sequence Prediction in Global Liner Shipping
por: Su, Yanzhao, et al.
Publicado: (2026) -
Few-Shot Learning for Dynamic Operations of Automated Electric Taxi Fleets under Evolving Charging Infrastructure: A Meta-Deep Reinforcement Learning Approach
por: Li, Xiaozhuang, et al.
Publicado: (2026) -
Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
por: Si, Jinhua, et al.
Publicado: (2023) -
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
por: Qiao, Zhongzheng, et al.
Publicado: (2026) -
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits
por: Duong, Thang, et al.
Publicado: (2025)