5 citations · 6 across the 5 of their papers we have counts for
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cs.LG2026
Enhancing AI Interpretability with Localised Architectures
Ian Seet, Jonas Bozenhard, Simon Ostermann
Recent advances in generative AI, especially powerful Large Language Models (LLMs), raise concerns over the interpretability, safety and sustainability of these large and opaque AI…
cs.LG2025★ 1 cited
Exploring molecular assembly as a biosignature using mass spectrometry and machine learning
Lindsay A. Rutter, Abhishek Sharma, Ian Seet +3
Molecular assembly offers a promising path to detect life beyond Earth, while minimizing assumptions based on terrestrial life. As mass spectrometers will be central to upcoming So…