Abstract:

Some books and papers that I like or need to read.

Papers

Papers I Like

Balestriero, Randall, and Richard Baraniuk. "Mad max: Affine spline insights into deep learning." arXiv preprint arXiv:1805.06576 (2018).
Ilyas, Andrew, et al. "Adversarial examples are not bugs, they are features." Advances in neural information processing systems 32 (2019).

Papers I Want to Read

Humayun, Ahmed Imtiaz, et al. "Splinecam: Exact visualization and characterization of deep network geometry and decision boundaries." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.

Books

Books I Like

Remembrance of Earth's Past (Trilogy) by Liu Cixin
Calculus, Fourth Edition by Michael Spivak (ISBN-10 0914098918) ^[1]

Books I Want to Read

A Comprehensive Introduction to Differential Geometry (Volume I) by Michael Spivak
Principals of Mathematical Analysis by Walter Rudin (AKA "Baby Rudin"; Reread) ^[2]