Finite Frame Quantization and Spherical Tessellations

NWC Spring 2024 Seminar April 15 Ilya Krishtal default

NWC Spring 2024 Seminar May 13 Stéphane Jaffard default

NWC Spring 2024 Seminar May 20 Charles Fefferman default

NWC Spring 2024 Seminar March 25 Edinah Gnang

NWC Spring 2024 Seminar March 18 Joseph Lakey

NWC Spring 2024 Seminar April 1 Garry Jacyna default

NWC Spring 2024 Seminar May 6 Matthias Wellershoff default

NWC Spring 2024 Seminar March 11 Charles Fefferman

NWC Spring 2024 Seminar April 29 Dmitry Batenkov default

A New Quantization and Its Vast Classical Realm

Transport transforms for signal analysis and machine learning

From overparametrized neural networks to harmonic regression

Finite Frame Quantization and Spherical Tessellations

Stable super-resolution limit and smallest singular value of restricted Fourier matrices

LDLE: Low Distortion Local Eigenmaps

Manifold Learning and Grid-Free Methods with the Spectral Exterior Calculus (SEC)

Quantizing neural networks

Signal processing on large graphs; a noncommutative approach to the graphon Fourier transform

Fourier-Ring Descriptors and Measuring Rotational Equivariance

Physics-informed Machine Learning for Inverse Problems

Knowledge is Never Too Dear, but Mathematics is Dearer

Phase retrieval for radar waveform design

Datamodels: Predicting Predictions with Training Data

How can we leverage FFT-based methods in convolutional networks?