• 10/7/2021 Interdisciplinary Science Seminar

    Title: SiRNA Targeting TCRb: A Proposed Therapy for the Treatment of Autoimmunity Abstract: As of 2018, the United States National Institutes of Health estimate that over half a billion people worldwide are […]

  • Causality Comparison and Postive Mass

    Speaker: Xiaoning Wu, Chinese Academy of Sciences Title: Causality Comparison and Postive Mass Abstract: Penrose et al. investigated the physical incoherence of the space-time with negative mass via the bending […]

  • Knowledge Graph Embeddings and Inference

    Member Seminar Speaker: Michael Douglas Title: Knowledge Graph Embeddings and Inference Abstract: A knowledge graph (KG) is a data structure which represents entities and relations as the vertices and edges of […]

  • 10/12/2021 Combinatorics, Physics and Probability Seminar

    Title: On counting algebraically defined graphs Abstract: For many classes of graphs that arise naturally in discrete geometry (for example intersection graphs of segments or disks in the plane), the edges of […]

  • Derived projectivizations of two-term complexes

    Abstract: For a given two-term complex of vector bundles on a derived scheme (or stack), there are three natural ways to define its “derived projectivizations”: (i) as the derived base-change of […]

  • Some remarks on contact Calabi-Yau 7-manifolds

    Abstract: In geometry and physics it has proved useful to relate G2 and Calabi-Yau geometry via circle bundles. Contact Calabi-Yau 7-manifolds are, in the simplest cases, such circle bundles over Calabi-Yau 3-orbifolds. […]

  • Computer-Aided Mathematics and Satisfiability

    https://youtu.be/4wHwqYrCqVQ Speaker: Marijn Heule, Carnegie Mellon University Title: Computer-Aided Mathematics and Satisfiability Abstract: Progress in satisfiability (SAT) solving has made it possible to determine the correctness of complex systems and […]

  • D3C: Reducing the Price of Anarchy in Multi-Agent Learning

    Virtual

    Speaker: Ian Gemp, DeepMind Title: D3C: Reducing the Price of Anarchy in Multi-Agent Learning Abstract: In multi-agent systems the complex interaction of fixed incentives can lead agents to outcomes that are poor […]

  • Stochastic PDE as scaling limits of interacting particle systems

    Abstract: Interacting particle models are often employed to gain understanding of the emergence of macroscopic phenomena from microscopic laws of nature. These individual-based models capture fine details, including randomness and […]