UCLA Talk Prompts Interest in AI Interpretability
Machine learning postdoc notes the session encouraged further exploration of the topic.
Idan Attias posted that a talk at IPAM UCLA on interpretability prompted him to explore the topic more. Attias, a postdoc at UIC and TTIC who is joining Technion CS as faculty, stated he does not know much about the area but wants to dig deeper. His stated research interests include machine learning, AI, sequential decision-making, and theoretical computer science. The post included a video of the session.
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UCLA Talk Prompts Interest in AI Interpretability
Machine learning postdoc notes the session encouraged further exploration of the topic.
Idan Attias posted that a talk at IPAM UCLA on interpretability prompted him to explore the topic more. Attias, a postdoc at UIC and TTIC who is joining Technion CS as faculty, stated he does not know much about the area but wants to dig deeper. His stated research interests include machine learning, AI, sequential decision-making, and theoretical computer science. The post included a video of the session.
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Idan Attias@IdanAttiasI don’t know much about interpretability, but today’s talk at @ipam_ucla made me want to dig deeper:
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