University of Cambridge > Talks.cam > Logic and Semantics Seminar (Computer Laboratory) > Categorical Foundations of Gradient-Based Learning

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Categorical Foundations of Gradient-Based Learning

Download to your calendar using vCal

  • UserFabio Zanasi, UCL
  • ClockFriday 04 February 2022, 14:00-15:00
  • HouseFW26.

If you have a question about this talk, please contact Jamie Vicary .

THIS TALK WILL BE IN SS03 , NOT FW26

I will present recent work (joint with G. Cruttwell, B. Gavranovic, N. Ghani, and P. Wilson) on providing semantic foundations to machine learning using the tools of logic, algebra and category theory. This framework provides a much needed unifying perspective on different training techniques for machine learning models, based on the categorical notion of lens. This abstract viewpoint does not only allow to study uniformly learning with neural networks, but also to extend these techniques to other, previously unexplored models, such as Boolean circuits.

This talk is part of the Logic and Semantics Seminar (Computer Laboratory) series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

https://eng-cam.zoom.us/j/85186218549?pwd=dDh0cGRua2FHdVp0U05rOVRUalJFUT09 in person & via zoom Lecture Theatre, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB

Other talks

Talk title TBC The uplift and erosion history of the Gamburtsev Subglacial Mountains and their role in the formation of the East Antarctic Ice Sheet Scattering Plenty: the people who made the modern countryside Tea and Coffee Break Group Work Group Presentation 3
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity