ICML 2025 Past Optimization
ICML 2025 CO-BUILD Workshop on Computational Optimization of Buildings
CO-BUILD
- Submission deadline
- Jul 28, 2025, 23:59 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 (32)
Fetched from OpenReview (v2) on 2026-06-10.
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A Temporal Features-Enhanced Mixture-of-Experts Approach for Indoor Temperature Prediction
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Agentic Multi-Objective Retrofitting Framework (AMORF) for Buildings
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BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning
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Benchmarking Forecasting Models for Long-Horizon Prediction of Temperature Distribution in Smart Buildings
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BESTOpt: A Physics-Informed Neural Network Based Building Simulation, Control and Optimization Platform—A Case Study on Dynamic Model Evaluation
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BuildEvo: Designing Building Energy Consumption Forcasting Heuristics via LLM-driven Evolution
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CO-BUILD Smart Buildings Competition: An Empirical Comparison of HVAC Temperature Prediction Models
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Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning
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Forecasting Building Temperature Time Series with Exogenous Variables: ICML Co-Build Challenge
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Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL
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GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
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HVAC Fouling Detection with Root-Expansion Tiling-based Image Augmentation for Predictive Maintenance (RETINA-PdM)
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HVAC-GRACE: Transferable Building Control via Heterogeneous Graph Neural Network Policies
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ICML 2025 CO-BUILD contest: XGBoost iterations
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InsightBuild: LLM-Powered Causal Reasoning in Smart Building Systems
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Interpretable LLM Control for Sustainable Liquid Cooling in HPC Data Centers
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Learning Adaptive Mixed-Mode Ventilation Policies via Adversarial Inverse Reinforcement Learning
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ML-Driven Sensitivity Analysis for Lean HVAC: New Insights from Large-Scale Comfort Data
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Multi-Scale LSTM Networks for Long-Term Building Temperature Prediction: A Simplified Approach to Complex Thermal Dynamics
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Operator Learning for Indoor Air Dynamics: Modeling and Applications
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Physics-Informed Neural Networks (PINNs) for Building Thermal Dynamics: Benchmarking on ASHRAE RP-1312 and BOPTEST
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Physics-Informed RL for HVAC Controls: Imitation to Online Fine-Tuning
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PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN
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Predicting Zone Air Temperature in Smart Buildings Using LightGBM Models
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Reinforcement Learning with Transfer Learning for Cross-Context Building Design Optimization
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Safe PDE Boundary Control with Neural Operators
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Scalable Attention-based Reinforcement Learning Method for Multi-asset Control
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Scalable Building Temperature Prediction for Smart HVAC Control: A Multi-Stage Learning Framework
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Scalable Occupant-Centric HVAC Control in Accommodations Using Individual Preference and Global Thermal Comfort Database
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The Potential for Building Emissions Reduction through Sporadic and Targeted Load Modulation
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Thermal-SAM: Adversarial Prompt-Based Unsupervised Building Segmentation in Thermal Aerial Imagery – A Case Study in Turin
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Time-series Forecast for Indoor Zone Air Temperature with Long Horizons A Case Study with Sensor-based Data from a Smart Building