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Joule, 2024
This paper investigates how large language models (LLMs) perform in electric-energy systems tasks—identifying both their promise and their limitations for this safety-critical domain.
arXiv (pre-print), 2024
This paper introduces a deep state-space modelling approach and accompanying benchmark for multivariate time-series prediction in electric power systems, integrating high-resolution external forecasts and traditional dynamical structure.
arXiv (pre-print), 2025
This paper proposes a method for inference-time alignment of diffusion models to multiple, possibly conflicting, user-specified preferences (rewards) without additional fine-tuning.
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
This is a description of a teaching experience. You can use markdown like any other post.
This is a description of a teaching experience. You can use markdown like any other post.