Spring 2026 Schedule
Monday
Foundation Seminar (Joint Seminar with BHI): monthly 9:30–10:30 am ET
Quantum Field Theory and Physical Mathematics Seminar: 3:00–4:00 pm ET
Colloquium: 4:30–5:30 pm ET
Tuesday
Geometry and Quantum Theory Seminar: 4:15–6:30 pm ET
Wednesday
CMSA Q&A Seminar: 12:00–1:00 pm ET
New Technologies in Mathematics Seminar: 2:00–3:00 pm ET
Thursday
Differential Geometry and Physics Seminar: 1:30–2:30 pm ET
Algebra Seminar: 4:00–5:00 pm ET
Friday
Member Seminar: 12:00–1:00 pm ET
Mike Freedman CMSA Seminar: Monthly 2:00–4:30 pm ET
Category: CMSA Q&A Seminar |
Title: CMSA Q&A Seminar: James Eldred Pascoe, Drexel UniversityCMSA Q&A Seminar Speaker: James Eldred Pascoe, Drexel University Title: (What is) The tracial fundamental group and free universal monodromy? Abstract: We introduce the tracial fundamental group to classify the analytic continuation of functions that are locally behave like the trace of natural matrix valued functions. While globally defined natural matrix-valued functions (known as free noncommutative functions, which roughly locally are defined by noncommutative power series) satisfy universal monodromy, we show that these tracial free functions exhibit a rigid but nontrivial structure governed by the aforementioned group. We prove that the tracial fundamental group is always a torsion-free, divisible abelian group, standing in sharp contrast to the non-abelian fundamental groups of classical domains. |
Category: New Technologies in Mathematics Seminar |
Title: ReLU and Softplus neural nets as zero-sum, turn-based, stopping gamesNew Technologies in Mathematics Seminar Speaker: Yiannis Vlassopoulos, Athena Research Center Title: ReLU and Softplus neural nets as zero-sum, turn-based, stopping games Abstract:Â Neural networks are for the most part treated as black boxes. In an effort to begin elucidating the mathematical structure they encode, we will explain how ReLU neural nets can be interpreted as zero-sum turn-based, stopping games. The game runs in the opposite direction to the net. The input to the net is the terminal reward of the game, the output of the net is the value of the game at its initial states. The bias at each neuron is used to define the reward and the weights are used to define state-transition probabilities. One player... |
Category: Differential Geometry and Physics Seminar |
Title: Differential Geometry and Physics SeminarDifferential Geometry and Physics Seminar Speaker: Gabor Szekelyhidi, Northwestern University |
Category: Algebra Seminar |
Title: Algebra SeminarAlgebra Seminar |
Category: Member Seminar |
Title: Member SeminarMember Seminar Speaker: Lorenzo Riva |
Category: Quantum Field Theory and Physical Mathematics |
Title: Quantum Field Theory and Physical Mathematics SeminarQuantum Field Theory and Physical Mathematics Seminar Speaker: Shaoyun Bai, Massachusetts Institute of Technology |
Category: Geometry and Quantum Theory Seminar |
Title: Geometry and Quantum Theory SeminarGeometry and Quantum Theory Seminar |
Category: CMSA Q&A Seminar |
Title: CMSA Q&A SeminarCMSA Q&A Seminar Details TBA |
Category: Differential Geometry and Physics Seminar |
Title: Differential Geometry and Physics SeminarDifferential Geometry and Physics Seminar Speaker: Greg Moore, Rutgers University |
Category: Algebra Seminar |
Title: Algebra SeminarAlgebra Seminar |
Category: Member Seminar |
Title: Member SeminarMember Seminar Speaker: Blake Bordelon |
Category: Quantum Field Theory and Physical Mathematics |
Title: Quantum Field Theory and Physical Mathematics SeminarQuantum Field Theory and Physical Mathematics Seminar Speaker: tba |
Category: Colloquium |
Title: ColloquiumColloquium Speaker: Mikhail Khovanov, Johns Hopkins University |
Category: Geometry and Quantum Theory Seminar |
Title: Geometry and Quantum Theory SeminarGeometry and Quantum Theory Seminar |
Category: CMSA Q&A Seminar |
Title: CMSA Q&A SeminarCMSA Q&A Seminar Details TBA |