https://youtu.be/EXpmbAfBNnw Speaker: Jason Rute, CIBO Technologies Title: Neural Theorem Proving in Lean using Proof Artifact Co-training and Language Models Abstract: Labeled data for imitation learning of theorem proving in large libraries of formalized mathematics is scarce as such libraries require years of concentrated effort by human specialists to be built. This is particularly challenging when applying […]

https://youtu.be/h0FW7l7z-C4 Speaker: Ido Kaminer, Technion – Israel Institute of Technology, Faculty of Electrical Engineering Title: The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants Abstract: In the past, new conjectures about fundamental constants were discovered sporadically by famous mathematicians such as Newton, Euler, Gauss, and Ramanujan. The talk will present a […]

https://youtu.be/-DKctbabRkY Speaker: Steve Skiena, Dept. of Computer Science and AI Insititute, Stony Brook University Title: Word and Graph Embeddings for Machine Learning Abstract: DeepWalk is an approach we have developed to construct vertex embeddings: vector representations of vertices which be applied to a very general class of problems in data mining and information retrieval. DeepWalk […]