Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models
Fuente:
arXiv
Saved in:
| Main Authors: | Bergström, David, Tiger, Mattias, Heintz, Fredrik |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention
by: Delibasoglu, Ibrahim, et al.
Published: (2025)
by: Delibasoglu, Ibrahim, et al.
Published: (2025)
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
by: Ramachandranpillai, Resmi, et al.
Published: (2024)
by: Ramachandranpillai, Resmi, et al.
Published: (2024)
Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives?
by: Chakraborty, Sanjay, et al.
Published: (2025)
by: Chakraborty, Sanjay, et al.
Published: (2025)
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
by: Wiman, Emil, et al.
Published: (2023)
by: Wiman, Emil, et al.
Published: (2023)
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
by: Yang, Jiawei, et al.
Published: (2024)
by: Yang, Jiawei, et al.
Published: (2024)
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers
by: Chakraborty, Sanjay, et al.
Published: (2025)
by: Chakraborty, Sanjay, et al.
Published: (2025)
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
by: Chakraborty, Sanjay, et al.
Published: (2025)
by: Chakraborty, Sanjay, et al.
Published: (2025)
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers
by: Sikder, Md Fahim, et al.
Published: (2023)
by: Sikder, Md Fahim, et al.
Published: (2023)
Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
by: Chen, Runfei
Published: (2026)
by: Chen, Runfei
Published: (2026)
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting
by: Delibasoglu, Ibrahim, et al.
Published: (2024)
by: Delibasoglu, Ibrahim, et al.
Published: (2024)
UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Spatio-Temporal Hierarchical Causal Models
by: Li, Xintong, et al.
Published: (2025)
by: Li, Xintong, et al.
Published: (2025)
Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction
by: Gustafsson, Fredrik K., et al.
Published: (2024)
by: Gustafsson, Fredrik K., et al.
Published: (2024)
Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
by: Bilal, Muhammad, et al.
Published: (2025)
by: Bilal, Muhammad, et al.
Published: (2025)
ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting
by: Jeon, Hyotaek, et al.
Published: (2025)
by: Jeon, Hyotaek, et al.
Published: (2025)
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
by: Turner, Edward
Published: (2025)
by: Turner, Edward
Published: (2025)
Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
by: Kheder, Ammar, et al.
Published: (2025)
by: Kheder, Ammar, et al.
Published: (2025)
STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training
by: Liu, Minglu, et al.
Published: (2026)
by: Liu, Minglu, et al.
Published: (2026)
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
by: Bastos, Anson, et al.
Published: (2024)
by: Bastos, Anson, et al.
Published: (2024)
STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal Planning
by: Huang, Zixiao, et al.
Published: (2025)
by: Huang, Zixiao, et al.
Published: (2025)
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data
by: Ashman, Matthew, et al.
Published: (2024)
by: Ashman, Matthew, et al.
Published: (2024)
GSTM-HMU: Generative Spatio-Temporal Modeling for Human Mobility Understanding
by: Luo, Wenying, et al.
Published: (2025)
by: Luo, Wenying, et al.
Published: (2025)
STACI: Spatio-Temporal Aleatoric Conformal Inference
by: Feng, Brandon R., et al.
Published: (2025)
by: Feng, Brandon R., et al.
Published: (2025)
Spatio-Temporal Pruning for Compressed Spiking Large Language Models
by: Jiang, Yi, et al.
Published: (2025)
by: Jiang, Yi, et al.
Published: (2025)
Spatio-Temporal Graph Unlearning
by: Guo, Qiming, et al.
Published: (2025)
by: Guo, Qiming, et al.
Published: (2025)
DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
by: Ye, Feng, et al.
Published: (2024)
by: Ye, Feng, et al.
Published: (2024)
Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic
by: Bonin, Lorenzo, et al.
Published: (2026)
by: Bonin, Lorenzo, et al.
Published: (2026)
Movement-Specific Analysis for FIM Score Classification Using Spatio-Temporal Deep Learning
by: Masaki, Jun, et al.
Published: (2025)
by: Masaki, Jun, et al.
Published: (2025)
Automated Spatio-Temporal Weather Modeling for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)
by: Keisler, Julie, et al.
Published: (2024)
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions
by: Chakraborty, Sanjay, et al.
Published: (2024)
by: Chakraborty, Sanjay, et al.
Published: (2024)
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
by: Sikder, Md Fahim, et al.
Published: (2024)
by: Sikder, Md Fahim, et al.
Published: (2024)
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs
by: Chen, Jiawen, et al.
Published: (2025)
by: Chen, Jiawen, et al.
Published: (2025)
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
Enhancing Wildfire Forecasting Through Multisource Spatio-Temporal Data, Deep Learning, Ensemble Models and Transfer Learning
by: Jadouli, Ayoub, et al.
Published: (2024)
by: Jadouli, Ayoub, et al.
Published: (2024)
Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations
by: Wang, Kesen, et al.
Published: (2024)
by: Wang, Kesen, et al.
Published: (2024)
Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
by: Liu, Yilin, et al.
Published: (2026)
by: Liu, Yilin, et al.
Published: (2026)
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning
by: Hu, Junfeng, et al.
Published: (2023)
by: Hu, Junfeng, et al.
Published: (2023)
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
by: Zou, Xiaobei, et al.
Published: (2023)
by: Zou, Xiaobei, et al.
Published: (2023)
Similar Items
-
Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention
by: Delibasoglu, Ibrahim, et al.
Published: (2025) -
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
by: Ramachandranpillai, Resmi, et al.
Published: (2024) -
Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives?
by: Chakraborty, Sanjay, et al.
Published: (2025) -
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
by: Wiman, Emil, et al.
Published: (2023) -
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)