Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn Dynamics
Fuente:
arXiv
Saved in:
| Main Authors: | Kreutz, Thomas, Mühlhäuser, Max, Guinea, Alejandro Sanchez |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation
by: Doula, Achref, et al.
Published: (2025)
by: Doula, Achref, et al.
Published: (2025)
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
by: Kreutz, Thomas, et al.
Published: (2025)
by: Kreutz, Thomas, et al.
Published: (2025)
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training
by: Kreutz, Thomas, et al.
Published: (2024)
by: Kreutz, Thomas, et al.
Published: (2024)
Diffusion-Based Generation and Imputation of Driving Scenarios from Limited Vehicle CAN Data
by: Ripper, Julian, et al.
Published: (2025)
by: Ripper, Julian, et al.
Published: (2025)
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
by: Wu, Liming, et al.
Published: (2024)
by: Wu, Liming, et al.
Published: (2024)
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
by: Anwar, Saif, et al.
Published: (2025)
by: Anwar, Saif, et al.
Published: (2025)
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
by: Liu, Yuxuan, et al.
Published: (2026)
by: Liu, Yuxuan, 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)
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network
by: Moallemy-Oureh, Alice, et al.
Published: (2022)
by: Moallemy-Oureh, Alice, et al.
Published: (2022)
Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
by: Bilal, Muhammad, et al.
Published: (2025)
by: Bilal, Muhammad, et al.
Published: (2025)
Dynamic Attention (DynAttn): Interpretable High-Dimensional Spatio-Temporal Forecasting (with Application to Conflict Fatalities)
by: Iacus, Stefano M., et al.
Published: (2025)
by: Iacus, Stefano M., et al.
Published: (2025)
Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows
by: Winkler, Christina, et al.
Published: (2023)
by: Winkler, Christina, et al.
Published: (2023)
Spatio-Temporal Hierarchical Causal Models
by: Li, Xintong, et al.
Published: (2025)
by: Li, Xintong, et al.
Published: (2025)
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
by: Turner, Edward
Published: (2025)
by: Turner, Edward
Published: (2025)
DynaSTy: A Framework for SpatioTemporal Node Attribute Prediction in Dynamic Graphs
by: Banerji, Namrata, et al.
Published: (2026)
by: Banerji, Namrata, et al.
Published: (2026)
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
by: Zhong, Siru, et al.
Published: (2026)
by: Zhong, Siru, et al.
Published: (2026)
System States Forecasting of Microservices with Dynamic Spatio-Temporal Data
by: Xu, Yifei, et al.
Published: (2024)
by: Xu, Yifei, et al.
Published: (2024)
Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics
by: Schestakov, Stefan, et al.
Published: (2024)
by: Schestakov, Stefan, et al.
Published: (2024)
STDHL: Spatio-Temporal Dynamic Hypergraph Learning for Wind Power Forecasting
by: Dong, Xiaochong, et al.
Published: (2024)
by: Dong, Xiaochong, et al.
Published: (2024)
Spatio-Temporal Graph Unlearning
by: Guo, Qiming, et al.
Published: (2025)
by: Guo, Qiming, et al.
Published: (2025)
A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery
by: Xu, Faming, et al.
Published: (2025)
by: Xu, Faming, et al.
Published: (2025)
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
by: Bastos, Anson, et al.
Published: (2024)
by: Bastos, Anson, et al.
Published: (2024)
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models
by: Bergström, David, et al.
Published: (2024)
by: Bergström, David, et al.
Published: (2024)
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
by: Zheng, Jiankai, et al.
Published: (2025)
by: Zheng, Jiankai, et al.
Published: (2025)
Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
by: Mostafa, Abeer, et al.
Published: (2026)
by: Mostafa, Abeer, et al.
Published: (2026)
Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
by: Sun, Tian, et al.
Published: (2025)
by: Sun, Tian, et al.
Published: (2025)
ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation
by: Chen, Shulun, et al.
Published: (2025)
by: Chen, Shulun, et al.
Published: (2025)
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
by: Feng, Yutong, et al.
Published: (2025)
by: Feng, Yutong, et al.
Published: (2025)
Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
by: Wang, Yule, et al.
Published: (2023)
by: Wang, Yule, et al.
Published: (2023)
STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation
by: Liu, Zijin, et al.
Published: (2026)
by: Liu, Zijin, et al.
Published: (2026)
Spatio-Temporal Graph Structure Learning for Earthquake Detection
by: Piriyasatit, Suchanun, et al.
Published: (2025)
by: Piriyasatit, Suchanun, et al.
Published: (2025)
Optimal Spatio-Temporal Decoupling for Bayesian Conformal Prediction
by: Fang, Yu-Hsueh, et al.
Published: (2026)
by: Fang, Yu-Hsueh, et al.
Published: (2026)
Spatio-Temporal Conformal Prediction for Power Outage Data
by: Jiang, Hanyang, et al.
Published: (2024)
by: Jiang, Hanyang, et al.
Published: (2024)
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning
by: He, Hankun, et al.
Published: (2025)
by: He, Hankun, 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)
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models
by: Chen, Liyue, et al.
Published: (2025)
by: Chen, Liyue, et al.
Published: (2025)
Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks
by: Bonneville, Christophe, et al.
Published: (2026)
by: Bonneville, Christophe, et al.
Published: (2026)
Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
by: Gao, Han, et al.
Published: (2025)
by: Gao, Han, et al.
Published: (2025)
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
by: Yuan, Zhongju, et al.
Published: (2025)
by: Yuan, Zhongju, et al.
Published: (2025)
Similar Items
-
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation
by: Doula, Achref, et al.
Published: (2025) -
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
by: Kreutz, Thomas, et al.
Published: (2025) -
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training
by: Kreutz, Thomas, et al.
Published: (2024) -
Diffusion-Based Generation and Imputation of Driving Scenarios from Limited Vehicle CAN Data
by: Ripper, Julian, et al.
Published: (2025) -
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
by: Wu, Liming, et al.
Published: (2024)