Guido Montufar
Associate Professor, Departments of Mathematics and Statistics & Data Science
(310) 206-2671
montufar@math.ucla.edu
Recent Publications
Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks
Hui Jin and Guido Montúfar
Journal article | 2023 | Journal of Machine Learning Research
Code: https://github.com/huijin12/Implicit_Bias_Wide_Neural_Networks
FoSR: First-Order Spectral Rewiring for Addressing Oversquashing In GNNs
Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montufar
Journal article | 2023 | Open Review
On the Effectiveness of Persistent Homology
Renata Turkes, Guido Montufar, Nina Otter
Journal article | 2022 | NeurIPS
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
Benjamin Bowman, Guido Montufar
Journal article | 2022 | NeurIPS
Geometry of Linear Convolution Networks
Kathlen Kohn, Thomas Merkh, Guido Montufar, Matthew Trager
Journal article | 2022 | Society for Industrial and Applied Mathematics
DOI: https://doi.org/10.1137/21M1441183
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Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
Hui Jin, Pradeep Kr. Banerjee, Guido Montufar
Journal article | 2022 | Open Review
Characterizing The Spectrum Of The NTK Via A Power Series Expansion
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montufar
Journal article | Open Review