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