Seminar in Applied Mathematics

Ulises Pereira-Obilinovic
Ulises Pereira-Obilinovic, Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification
March 5, 2026
Stefania Fresca
Stefania Fresca, Geometric variability and multi-scale optimization in surrogate models
February 19, 2026
Nicholas Nelsen
Nicholas Nelsen, Operator learning meets inverse problems
February 10, 2026
Stefan Henneking
Stefan Henneking, Bayesian Inversion for Linear Autonomous Dynamical Systems with Application to Real-Time Tsunami Forecasting in Cascadia
January 29, 2026
Phebe Vayanos
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
Krithika Manohar, Learning Guarantees for Data-Driven Sparse Sensing and Nonlinear System Identification
November 13, 2025
Libin Zhu
Libin Zhu, Iteratively reweighted kernel machines efficiently learn sparse functions
November 6, 2025
Amir Taghvaei
Amir Taghvaei, From diffusion models to stochastic control
October 15, 2025
Zhizhen Zhao
Zhizhen Zhao, Towards Hierarchical Flow Matching for Generative Modeling
May 29, 2025
Arie Israel
Arie Israel, Wave packet systems and connections to spectral analysis of limiting operators
May 22, 2025
John Urschel
John Urschel, Nodal Statistics for Graphs and Matrices
May 8, 2025
Benjamin Peherstorfer
Ben Peherstorfer, Fast inference in generative modeling of time-dependent stochastic processes
April 10, 2025
Anthony Bloch
Anthony Bloch, Integrable Hamiltonian and gradient flows and total positivity
March 4, 2025
Roy Choudhury
Roy Choudhury, Extensions of the General Solution Families...
February 27, 2025
Morgan Craig
Morgan Craig, Identifying treatment and vaccine targets using mechanistic mathematical models
February 20, 2025
Florian Schafer
Florian Schäfer, Toward Information Geometric Mechanics
February 6, 2025
Pratik Patil
Pratik Patil, Facets of regularization in overparameterized machine learning
February 3, 2025
Mari Kawakatsu
Mari Kawakatsu, Mathematical models of reputation, polarization, and cooperation
January 23, 2025
Krutika Tawri
Krutika Tawri, Stochastic and deterministic moving boundary problems
January 16, 2025
Jorge Garza Vargas
Jorge Garza-Vargas, Proving rapid global convergence for the shifted QR algorithm
January 14, 2025
Chadi Saad-Roy
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
Heather Wilber, Adventures in structured matrix approximation methods 
November 9, 2023
Stefan Steinerberger, Particle Growth Models in the Plane (DLA, DBM, ...)
October 26, 2023
Katie Oliveras, Measuring Water Waves: Using Pressure to Reconstruct Wave Profiles 
October 19, 2023