Haim Sampolinsky - Theory-based measures of object  representations @SacklerColloquia
Haim Sampolinsky - Theory-based measures of object  representations  @SacklerColloquia
Uploaded March 2019 | Updated September 2026, 2 days ago
Haim Sampolinsky, Hebrew University of Jerusalem, Theory-based measures of object representations in deep artificial and biological networks

This talk was presented during the National Academy of Sciences Arthur M. Sackler Colloquium: The Science of Deep Learning in Washington D.C. March 13-14, 2019.

Organized by: David Donoho, Maithra Raghu, Ali Rahimi, Ben Recht and Matan Gavish
Haim Sampolinsky - Theory-based measures of object  representationsDoina Precup - From deep reinforcement learning to AIElizabeth Christopherson - Major Initiatives on Misinformation18 Jason Owen SmithDiscussion w  Audience - What We Know and Need to Know about Misinformation06 Katy BornerIntroduction - Ben ShneidermanThomas Jaramillo: Developing New Catalysts and Sustainable Processes for the ProductionDiscussion w  audience - Connecting Facts to What People Already Know (or Think They Know)Liz Neeley - Connecting Facts to What People Already Know (or Think They Know)Panel Discussion and Reflections with Report Committee MembersCzerne Reid - Our Most Pressing Problems: How Research and Practice Partnerships can Help
NAS Colloquia |

Haim Sampolinsky - Theory-based measures of object representations

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