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Aditya Ravuri

3 accepted papers

2025

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models

ICML 2025poster

Sparse dictionary learning (DL) has emerged as a powerful approach to extract semantically meaningful concepts from the internals of large language models (LLMs) trained mainly in the text domain. In this work, we explore whether DL can extract meaningful concepts from less human-interpretable scien…

Cited by 1SourcePDFScholar
2023

GAUCHE: A Library for Gaussian Processes in Chemistry

NeurIPS 2023poster

We introduce GAUCHE, an open-source library for GAUssian processes in CHEmistry. Gaussian processes have long been a cornerstone of probabilistic machine learning, affording particular advantages for uncertainty quantification and Bayesian optimisation. Extending Gaussian processes to molecular repr…