Predicting Satisfiability at the Phase Transition via End-to-End Learning

Predicting Satisfiability at the Phase Transition via End-to-End Learning

Published on ● Video Link: https://www.youtube.com/watch?v=OoHMRhPXunw



Duration: 44:19
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Kevin Leyton Brown (University of British Columbia)
https://simons.berkeley.edu/talks/predicting-satisfiability-phase-transition-end-end-learning
Theoretical Foundations of SAT/SMT Solving







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Kevin Leyton Brown
Theoretical Foundations of SAT/SMT Solving