Andrea Hunklinger
@ahunklinger.bsky.social
Reposted by Andrea Hunklinger
Four of our talented fellows, @ahunklinger.bsky.social, Fabian Krüger, Matt Ball and Bob van Schendel presented a poster on how academia-industry partnerships drive #innovation in #drugdiscovery at #AIS25. They did a fantastic job representing AiChemist and the #MSCA! 👏
November 5, 2025 at 10:06 AM
Four of our talented fellows, @ahunklinger.bsky.social, Fabian Krüger, Matt Ball and Bob van Schendel presented a poster on how academia-industry partnerships drive #innovation in #drugdiscovery at #AIS25. They did a fantastic job representing AiChemist and the #MSCA! 👏
In our newest preprint, we discuss current explainable AI (XAI) methods. We divided the workflow of a generative decoder-only model into four information contexts for XAI: training dataset, input query, model components, and output sequence. See here: arxiv.org/abs/2506.19532
@aichemist.bsky.social
@aichemist.bsky.social
June 25, 2025 at 11:37 AM
In our newest preprint, we discuss current explainable AI (XAI) methods. We divided the workflow of a generative decoder-only model into four information contexts for XAI: training dataset, input query, model components, and output sequence. See here: arxiv.org/abs/2506.19532
@aichemist.bsky.social
@aichemist.bsky.social
Are you curious about what protein language models learn? Check out our newest preprint! 🚀https://arxiv.org/abs/2506.19532
We reviewed explainable AI (XAI) techniques across all parts of the generative protein design workflow and discussed their applications, limitations, and untapped potential!
We reviewed explainable AI (XAI) techniques across all parts of the generative protein design workflow and discussed their applications, limitations, and untapped potential!
June 25, 2025 at 11:16 AM
Are you curious about what protein language models learn? Check out our newest preprint! 🚀https://arxiv.org/abs/2506.19532
We reviewed explainable AI (XAI) techniques across all parts of the generative protein design workflow and discussed their applications, limitations, and untapped potential!
We reviewed explainable AI (XAI) techniques across all parts of the generative protein design workflow and discussed their applications, limitations, and untapped potential!