Energy

Practical Evaluation of Machine Learning Efficiency Requires Model Life Cycle Assessment

International Conference on Machine Learning (ICML), 2026.

Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation

Environmental Research: Energy, 2025.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.

Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models

Transactions on Machine Learning Research, 2025.