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Published |
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Florian Schäfer, Toward Information Geometric Mechanics |
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Pratik Patil, Facets of regularization in overparameterized machine learning |
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Mari Kawakatsu, Mathematical models of reputation, polarization, and cooperation |
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Krutika Tawri, Stochastic and deterministic moving boundary problems |
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Jorge Garza-Vargas, Proving rapid global convergence for the shifted QR algorithm |
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Chadi Saad-Roy, Mathematical models to untangle infectious disease dynamics across scales |
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Donsub Rim, A Low Rank Neural Representation of Nonlinear Shock Waves |
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Applied Mathematics Student, Erick Javier Sánchez Gama, Featured in the Arts & Sciences First-Generation Storytelling Celebration |
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Fatemeh Pourahmadian, Data-driven approaches to imaging and characterization of advanced materials from laser ultrasonic test data |
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Alina Chertok, Navigating Uncertainty: Stochastic Methods for Nonlinear Systems |
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Xiaoye Sherry Li: Interplay of Linear Algebra, Machine Learning, and High Performance Computing |
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Panos Stinis, When big neural networks are not enough: physics, multifidelity and kernels |
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Carola-Bibiane Schönlieb: Mathematical imaging: From geometric PDEs and variational modelling to deep learning for images |
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Mateo Diaz, The radius of statistical efficiency |
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Deniz Bilman, General rogue waves of infinite order |
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Caroline Moosmuller, Learning in the space of probability measures |
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A Word from the Chair, 2024 |
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Eric Vanden-Eijnden: Generative modeling with flows and diffusions |
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Patrick Guidotti, Connecting the Dots |
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Kamyar Azizzadenesheli, AI+Science: Neural Operators for Accelerating Scientific Simulations and Design |
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Reflections from the Front Desk |
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Our First Year Summed Up: Research & Community in Lewis |
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From AMATH to the Liberal Arts |
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Trading Textbooks for Bonds: My Journey in CFRM |
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Learning is a Lifelong Process |
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