Seminar in Applied Mathematics

Dustin Mixon, Bilipschitz embeddings for invariant machine learning

May 21, 2026

Robert Webber, Everything is Vecchia: Unifying low-rank and sparse inverse Cholesky approximations

April 23, 2026

Ethan Epperly, Sparser, better, faster, stronger: Emerging approaches in the theory and practice of randomized dimensionality reduction

April 9, 2026

Ulises Pereira-Obilinovic, Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification

March 5, 2026

Stefania Fresca, Geometric variability and multi-scale optimization in surrogate models

February 19, 2026

Nicholas Nelsen, Operator learning meets inverse problems

February 10, 2026

Stefan Henneking, Bayesian Inversion for Linear Autonomous Dynamical Systems with Application to Real-Time Tsunami Forecasting in Cascadia

January 29, 2026

Phebe Vayanos, Offline risk score and policy learning for responsible allocation of scarce housing to people experiencing homelessness

January 8, 2026

Sam Potter, Fast cut cell quadratures and robust contouring algorithms

November 20, 2025

Krithika Manohar, Learning Guarantees for Data-Driven Sparse Sensing and Nonlinear System Identification

November 13, 2025

Libin Zhu, Iteratively reweighted kernel machines efficiently learn sparse functions

November 6, 2025

Amir Taghvaei, From diffusion models to stochastic control

October 15, 2025

Zhizhen Zhao, Towards Hierarchical Flow Matching for Generative Modeling

May 29, 2025

Arie Israel, Wave packet systems and connections to spectral analysis of limiting operators

May 22, 2025

John Urschel, Nodal Statistics for Graphs and Matrices

May 8, 2025

Ben Peherstorfer, Fast inference in generative modeling of time-dependent stochastic processes

April 10, 2025

Anthony Bloch, Integrable Hamiltonian and gradient flows and total positivity

March 4, 2025

Roy Choudhury, Extensions of the General Solution Families...

February 27, 2025

Morgan Craig, Identifying treatment and vaccine targets using mechanistic mathematical models

February 20, 2025

Florian Schäfer, Toward Information Geometric Mechanics

February 6, 2025

Pratik Patil, Facets of regularization in overparameterized machine learning

February 3, 2025

Mari Kawakatsu, Mathematical models of reputation, polarization, and cooperation

January 23, 2025

Krutika Tawri, Stochastic and deterministic moving boundary problems

January 16, 2025

Jorge Garza-Vargas, Proving rapid global convergence for the shifted QR algorithm

January 14, 2025

Chadi Saad-Roy, Mathematical models to untangle infectious disease dynamics across scales

January 7, 2025

Donsub Rim, A Low Rank Neural Representation of Nonlinear Shock Waves

December 5, 2024

Fatemeh Pourahmadian, Data-driven approaches to imaging and characterization of advanced materials from laser ultrasonic test data

November 21, 2024

Alina Chertok, Navigating Uncertainty: Stochastic Methods for Nonlinear Systems

November 14, 2024

Panos Stinis, When big neural networks are not enough: physics, multifidelity and kernels

October 31, 2024

Mateo Diaz, The radius of statistical efficiency

October 22, 2024

Deniz Bilman, General rogue waves of infinite order

October 17, 2024

Caroline Moosmuller, Learning in the space of probability measures

October 15, 2024

Patrick Guidotti, Connecting the Dots

October 8, 2024

Kamyar Azizzadenesheli, AI+Science: Neural Operators for Accelerating Scientific Simulations and Design

October 3, 2024

Haizhao Yang, Finite Expression Method: A Symbolic Approach for Scientific Machine Learning

May 16, 2024

Rayan Saab, Stochastic algorithms for quantizing neural networks

May 9, 2024

Nicolas Garcia Trillos, FedCBO: Reaching Group Consensus in Clustered Federated Learning and Robustness to Backdoor Adversarial Attacks

April 18, 2024

Deanna Needell, Towards Transparency, Fairness, and Efficiency in Machine Learning

February 29, 2024

Christina Graf, High Fidelity MRI by Time Optimal Control

February 15, 2024

Eric Brechner, N-dimensional solid modeling without topology

February 8, 2024

Rima Alaifari, Stable or not: Robustness in imaging and scientific machine learning

February 1, 2024

Nicholas M. Boffi, On flows and diffusions: from the many-body Fokker-Planck equation to stochastic interpolants

January 30, 2024

Montie S. Avery, Universal spreading into unstable states

January 25, 2024

Brendon G. Anderson, Provably Robust Machine Learning through Structure-Aware Computation

January 23, 2024

Siting Liu, Enhancing PDE Computations and Score-Based Generative Models through Optimization

January 18, 2024

Cole Graham, Invasion in several guises

January 11, 2024

Jorge Garza Vargas, Rigorous Guarantees for Randomized Diagonalization Algorithms

December 7, 2023

Anastassiya Semenova, Water Waves: Instabilities of Stokes Waves

November 30, 2023

Amir Sagiv, Floquet Hamiltonians - Spectrum and dynamics

November 14, 2023

Qin Li, Mean field theory in Inverse Problems: from Bayesian inference to overparameterization of networks

November 13, 2023