NeurIPS 2025PastOther
UrbanAI: Harnessing Artificial Intelligence for Smart Cities
urbanai
- Submission deadline
- Sep 9, 2025, 00:00 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (54)
Fetched from OpenReview (v2) on 2026-06-10.
A Glass-Box AI Framework for Predicting and Explaining Urban Solar Energy Generation
A Knowledge-Based Framework for Urban Event Detection via Temporal Knowledge Graphs and Large Language Models
A scalable and transferable approach for spatio-temporal indoor air temperature forecasting in multi-zone buildings exploiting knowledge graph contextual information
A Two-Stage Hierarchical Optimization framework for Efficient Generative Urban Design
Advancing Building Autonomy with LLM-Based Fault Detection and Preventive Maintenance
AutoDrive-QA: A Multiple-Choice Benchmark for Vision–Language Evaluation in Urban Autonomous Driving
Beyond Shortest Path: Agentic Vehicular Routing with Semantic Context
CoolShift: Lightweight modeling of building cooling demand with causal machine learning
CoSSA: Correlation-Structure Shift Adapter for Cross-City Urban Forecasting
Demographics-Informed Neural Network for Multi-Modal Spatiotemporal Forecasting of Urban Growth and Travel Patterns Using Satellite Imagery
Duo-View Pedestrian Behavior Prediction via Multi-modal Cross-Attentive Fusion
Embedding Building Operation Cycles into Transformer Models for Indoor Temperature Prediction
Enhancing Demand-Oriented Regionalization with Agentic AI and Local Heterogeneous Data for Adaptation Planning
Enhancing Rural Autonomous Driving Performance with Diffusion-Augmented Synthetic Datasets
From Counts to Choice: Choice-Driven Spatial-Temporal Counting Process Models
From Image Generation to Infrastructure Design: a Multi-agent Pipeline for Street Design Generation
From Walled Gardens to Open Streets: A Pipeline for Cross-City Data Harmonization
Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
Graph Neural Networks for Predicting Wastewater Service Type At A Land Parcel Level
HeLoFusion: An Efficient and Scalable Encoder for Modeling Heterogeneous and Multi-Scale Interactions in Trajectory Prediction
Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management
HVAC-SPICE: Value-Uncertainty In-Context RL with Thompson Sampling for Zero-Shot HVAC Control
Hybrid MPC for Building Heat Pump Demand Flexibility under Unmeasured Disturbances
Hybrid XGBoost-PINN Multi-Stage Framework for Scalable Building Temperature Prediction
InsFusion: Rethink Instance-level LiDAR-Camera Fusion for 3D Object Detection
Joint Cooling and Computing Optimization for Language Model Serving
Linear vs Transformer Models for Long-Horizon Exogenous Temperature Forecasting
LLM-Powered Digital Twins for Interactive Urban Mobility Simulation: Integrating SUMO with AI Agents
LLM-Powered Report-Driven Markov Modelling for Large-Scale Predictive Bridge Maintenance in Japan
LLM-Raft: Enhancing Urban Traffic Efficiency and Safety through Decentralized Coordination of Autonomous Vehicles
Multi-Band Fusion Framework Using Hybrid Predictors for Indoor Temperature Forecasting
Multi-fidelity Data Reconstruction for Wind Pressure on Building
Origin-Conditional Trajectory Encoding: Measuring Urban Configurational Asymmetries through Neural Decomposition
OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data
Physics-Guided Dual Neural ODEs with Bidirectional Information Exchange for Air Quality Prediction
Physics-Informed Large Language Models for HVAC Anomaly Detection with Autonomous Rule Generation
Physics-Informed Learning via Diffusion Framework for System State Estimation
Physics-Informed Probabilistic Learning of Low-Altitude Urban Wind from Onboard Motion Data
Plug In For Lunch: Exploring Dining Options Around American EV Charging Stations
PMA-Diffusion: A Physics-guided Mask Aware Diffusion Framework for Traffic State Estimation from Sparse Observations
PresCast: Physics-Constrained Fourier Kolmogorov-Arnold Networks for Bluff Bodies Spatiotemporal Wall Pressure Forecast
Quantile-SMPC for Grid-Interactive Buildings with Multivariate Temporal Fusion Transformers
Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
Recovering Origin–Destination Flows from Bus CCTV: Early Results from Nairobi and Kigali
ShadeBench: A Benchmark Dataset and Method for Shade Simulation in Sustainable Society
Smart Building Temperature Forecasting with Probabilistic Temporal Fusion Transformers
Spatiotemporal AI Modeling of Remote Sensor Data for Accurate Prediction and Anomaly Detection in Urban Underground Water Systems
StreetTransformer: A Large Scale Multimodal Benchmark for Change Detection in Urban Streets
teLLMe Why (Ain’t Nothing but a Jam): Exploratory Causal Analysis of Urban Driving Data
The Subtle Art of Problem Formulation: Fusing Physics into Graph Structures for GNN-Based Pressure Monitoring in Water Distribution Networks
Towards Energy-Efficient Buildings
Trust-Based Multi-Agent Framework for On-Ramp Merging Integrating Large Language Models
Unlocking the Invisible Urban Traffic Dynamics under Extreme Weather: A New Physics-Constrained Hamiltonian Learning Algorithm
XGBoost with physics-informed features and residual regressor for the SBCS benchmark