City-Conditioned Memory for Multi-City Traffic and Mobility Forecasting
Fuente:
arXiv
Guardado en:
| Autor principal: | Du, Wenzhang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
por: Guettala, Walid, et al.
Publicado: (2025)
por: Guettala, Walid, et al.
Publicado: (2025)
Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
por: Manoj, Midhun
Publicado: (2025)
por: Manoj, Midhun
Publicado: (2025)
PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
por: Ali, Mohammad Wazed, et al.
Publicado: (2024)
por: Ali, Mohammad Wazed, et al.
Publicado: (2024)
Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
por: Sarabi, Ali, et al.
Publicado: (2025)
por: Sarabi, Ali, et al.
Publicado: (2025)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
por: Du, Wenzhang
Publicado: (2025)
por: Du, Wenzhang
Publicado: (2025)
Retrieval-Augmented Memory for Online Learning
por: Du, Wenzhang
Publicado: (2025)
por: Du, Wenzhang
Publicado: (2025)
Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
por: Mysore, Naveen
Publicado: (2026)
por: Mysore, Naveen
Publicado: (2026)
XGBoost Forecasting of NEPSE Index Log Returns with Walk Forward Validation
por: Malla, Sahaj Raj, et al.
Publicado: (2026)
por: Malla, Sahaj Raj, et al.
Publicado: (2026)
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
por: Riccio, Donato, et al.
Publicado: (2024)
por: Riccio, Donato, et al.
Publicado: (2024)
A Hybrid Inductive-Transductive Network for Traffic Flow Imputation on Unsampled Locations
por: Rahimiasl, Mohammadmahdi, et al.
Publicado: (2025)
por: Rahimiasl, Mohammadmahdi, et al.
Publicado: (2025)
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
por: Alagöz, Celal, et al.
Publicado: (2026)
por: Alagöz, Celal, et al.
Publicado: (2026)
Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
por: Du, Wenzhang
Publicado: (2025)
por: Du, Wenzhang
Publicado: (2025)
EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines
por: Afonso, Tiago Vasconcelos, et al.
Publicado: (2025)
por: Afonso, Tiago Vasconcelos, et al.
Publicado: (2025)
DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning
por: Tirumala, Aditya Puttaparthi
Publicado: (2025)
por: Tirumala, Aditya Puttaparthi
Publicado: (2025)
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
por: Heinrichs, Florian
Publicado: (2024)
por: Heinrichs, Florian
Publicado: (2024)
GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation
por: Fanale, Raimondo
Publicado: (2026)
por: Fanale, Raimondo
Publicado: (2026)
KAN vs LSTM Performance in Time Series Forecasting
por: Rather, Tabish Ali, et al.
Publicado: (2025)
por: Rather, Tabish Ali, et al.
Publicado: (2025)
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
por: Wibbeke, Jelke, et al.
Publicado: (2025)
por: Wibbeke, Jelke, et al.
Publicado: (2025)
Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
por: Saqur, Raeid, et al.
Publicado: (2026)
por: Saqur, Raeid, et al.
Publicado: (2026)
Mathematical Foundations of Neural Tangents and Infinite-Width Networks
por: Mysore, Rachana, et al.
Publicado: (2025)
por: Mysore, Rachana, et al.
Publicado: (2025)
Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
por: González, Adolfo, et al.
Publicado: (2025)
por: González, Adolfo, et al.
Publicado: (2025)
Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
por: Kinjo, Keita
Publicado: (2025)
por: Kinjo, Keita
Publicado: (2025)
Multiple data-driven missing imputation
por: Kavun, Sergii
Publicado: (2025)
por: Kavun, Sergii
Publicado: (2025)
Predicting Traffic Accident Severity with Deep Neural Networks
por: Bibb, Meghan, et al.
Publicado: (2025)
por: Bibb, Meghan, et al.
Publicado: (2025)
Prediction-space knowledge markets for communication-efficient federated learning on multimedia tasks
por: Du, Wenzhang
Publicado: (2025)
por: Du, Wenzhang
Publicado: (2025)
Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
por: Lai, Shanyan
Publicado: (2025)
por: Lai, Shanyan
Publicado: (2025)
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
por: K, Prasanth K, et al.
Publicado: (2025)
por: K, Prasanth K, et al.
Publicado: (2025)
A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
por: Yang, Tianlin, et al.
Publicado: (2026)
por: Yang, Tianlin, et al.
Publicado: (2026)
Is Cambodia the World's Largest Cashew Producer?
por: Chaya, Veasna, et al.
Publicado: (2024)
por: Chaya, Veasna, et al.
Publicado: (2024)
Can Agentic AI Match the Performance of Human Data Scientists?
por: Luo, An, et al.
Publicado: (2025)
por: Luo, An, et al.
Publicado: (2025)
Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
por: Landers, Jonathan R.
Publicado: (2026)
por: Landers, Jonathan R.
Publicado: (2026)
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
por: Hallak, Khaled, et al.
Publicado: (2025)
por: Hallak, Khaled, et al.
Publicado: (2025)
Echo State Networks as State-Space Models: A Systems Perspective
por: Singh, Pradeep, et al.
Publicado: (2025)
por: Singh, Pradeep, et al.
Publicado: (2025)
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
por: Luo, An, et al.
Publicado: (2026)
por: Luo, An, et al.
Publicado: (2026)
Geometric Metrics for MoE Specialization: From Fisher Information to Early Failure Detection
por: Guo, Dongxin, et al.
Publicado: (2026)
por: Guo, Dongxin, et al.
Publicado: (2026)
Local properties of neural networks through the lens of layer-wise Hessians
por: Bolshim, Maxim, et al.
Publicado: (2025)
por: Bolshim, Maxim, et al.
Publicado: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
por: Bolshim, Maxim, et al.
Publicado: (2026)
por: Bolshim, Maxim, et al.
Publicado: (2026)
Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
por: Bolshim, Maxim, et al.
Publicado: (2026)
por: Bolshim, Maxim, et al.
Publicado: (2026)
SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction
por: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Publicado: (2026)
por: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Publicado: (2026)
Ejemplares similares
-
Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
por: Guettala, Walid, et al.
Publicado: (2025) -
Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
por: Manoj, Midhun
Publicado: (2025) -
PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026) -
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
por: Ali, Mohammad Wazed, et al.
Publicado: (2024) -
Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
por: Sarabi, Ali, et al.
Publicado: (2025)