• On optimization and generalization in deep learning

    Abstract: Deep neural networks have achieved significant empirical success in many fields, including the fields of computer vision and natural language processing. Along with its empirical success, deep learning has been theoretically shown to be […]

  • Moduli Space of Metric SUSY Graphs

    Virtual

    Member Seminar Speaker: Yingying Wu Title: Moduli Space of Metric SUSY Graphs Abstract: SUSY curves are algebraic curves with additional supersymmetric or supergeometric structures. In this talk, I will present […]

  • 3/21/2022 – Swampland Seminar

    Open Mic Discussion Topic: Entropy bounds (species bound, Bekenstein bound, CKN bound, and the like)

  • Flip processes

    Abstract: We introduce a class of random graph processes, which we call \emph{flip processes}. Each such process is given by a \emph{rule} which is just a function $\mathcal{R}:\mathcal{H}_k\rightarrow \mathcal{H}_k$ from all […]

  • Non-zero momentum requires long-range entanglement

    Youtube Video   Abstract: I will show that a quantum state in a lattice spin (boson) system must be long-range entangled if it has non-zero lattice momentum, i.e. if it is […]

  • Formal Mathematics Statement Curriculum Learning

    https://youtu.be/4zINaGrPc9M Speaker: Stanislas Polu, OpenAI Title: Formal Mathematics Statement Curriculum Learning Abstract: We explore the use of expert iteration in the context of language modeling applied to formal mathematics. We show […]

  • An operadic structure on supermoduli spaces

    Abstract: The operadic structure on the moduli spaces of algebraic curves  encodes in a combinatorial way how nodal curves in the boundary can be obtained by glueing smooth curves along marked […]