Emmy Noether Room, Estella 1021, Pomona College,
610 N. College Ave., Claremont, CA, United States
Title: Randomly pivoted Cholesky: Fast, accurate matrix approximation for scientific machine learning Abstract: Low-rank approximation of positive semidefinite matrices is a basic problem in computational mathematics, with many applications to […]
Large Language Models like ChatGPT rely on surprisingly familiar mathematics. This talk will explore how ideas from (linear) algebra, number theory and combinatorics appear — both directly and indirectly — […]
Fall 2025 Course Preview Session Moderator: Lenny Fukshansky, Professor of Mathematics, Claremont McKenna College, CA Slide Link: https://docs.google.com/presentation/d/142NF1vUazpGNLF0pfLKc0qhkv4VoMQstSvZ0yKtMfNE/edit?usp=sharing
Emmy Noether Room, Estella 1021, Pomona College,
610 N. College Ave., Claremont, CA, United States
Title: Erlang-Distributed SEIR Epidemical Models Abstract: We examine the effects of different dynamics in epidemiological models, focusing on two key approaches. The first model incorporates reaction-diffusion dynamics, where susceptible individuals […]
A Jacobian variety is a principally polarized abelian variety (PPAV) associated with a smooth complex algebraic curve. For dimensions less than or equal to 3, every PPAV is either a […]
Estella 2099, Pomona College
610 N. College Ave., Claremont, CA, United States
We especially welcome all undergraduates and graduate students to attend topology seminar! Speaker: Sierra Knavel (Georgia Tech) Title: Betti Numbers and Indecomposability of Genus-2 Lefschetz Fibrations Abstract: Symplectic 4-manifolds, smooth […]
Argue Auditorium, Pomona College
610 N. College Ave., Claremont, CA, United States
Speaker: Naneh Apkarian Professor of Mathematics, Arizona State University, Arizona Title: Student Success in an Interactive STEM Ecosystem Abstract: This talk begins with a discussion of the multifaceted nature of “student success” in STEM, including externally recognized markers (e.g., grades) and internally defined indicators (e.g., enjoyment). Investigations of the factors which contribute to student success […]
Emmy Noether Room, Estella 1021, Pomona College,
610 N. College Ave., Claremont, CA, United States
Title: Modeling viral STI epidemics Abstract: We will describe an SIR model of viral sexually transmitted infections in a population structured by sex and sexual preference and its validation in the simple SI case from HIV data incidence. We will also use the model to establish a plausible structure of the U.S. population by sexual […]
The recognition that theoretical models of natural language syntax have robust algebraic foundations is longstanding. Both the syntactic structures proposed (trees, semirings, etc.) and metrics developed to understand them (the […]
Estella 2099, Pomona College
610 N. College Ave., Claremont, CA, United States
We especially welcome all undergraduates and graduate students to attend topology seminar! Speaker: Sam Nelson (Claremont McKenna College) Title: Virtual Biquandle Cocycle Quiver Representations Abstract: We construct a quiver representation […]
Argue Auditorium, Pomona College
610 N. College Ave., Claremont, CA, United States
Speaker: Andrew J. Bernoff, Professor of Mathematics, Harvey Mudd College Abstract: An outstanding challenge in mathematical biology is using laboratory and/or field observations to tune a model’s functional form and parameter values. These problems lie at the intersection of dynamical systems and data science. In this talk I will discuss an ongoing project developing models […]
Roberts North 15, CMC
320 E. 9th St., Claremont, United States
Speaker: Ana Maria Kenney, Assistant Professor, Department of Statistics, UC Irvine Title: Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference Abstract: Recent methodological developments have introduced new black-box approaches to better estimate heterogeneous treatment effects; however, these methods fall short of providing interpretable characterizations of the underlying individuals who may be most at […]
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