May 30, 2023 · We propose a geometric framework for understanding PRL, which allows us to identify a subtle flaw in its original formulation and to introduce a family of ...
We propose a mathematical framework for understanding PRL, which allows us to identify geometric pathologies in its original formulation.
... begins with a boundary: A geometric view on probabilistically robust learning. [02 May 23] Excited and honored to be a new associate editor for Advances in ...
It begins with a boundary: A geometric view on probabilistically robust learning · 1 code implementation • 30 May 2023 • Leon Bungert, Nicolás García Trillos ...
Wang "It begins with a boundary: A geometric view on probabilistically robust learning." (2023) Preprint available at: https://arxiv.org/abs/2305.18779. N ...
It begins with a boundary: A geometric view on probabilistically robust learning · Leon Bungert, Nicolas Garcia Trillos, Matt Jacobs, Daniel McKenzie, Djordje ...
4, 2019. It begins with a boundary: A geometric view on probabilistically robust learning. L Bungert, NG Trillos, M Jacobs, D McKenzie, Đ Nikolić, Q Wang. arXiv ...
García Trillos, M. Jacobs, D. McKenzie, D. Nikolic, Q. Wang, It begins with a boundary: A geometric view on probabilistically robust learning May 2023; [pdf] ...
Accuracies of the original PRL algorithm and our geometric modification · It begins with a boundary: A geometric view on probabilistically robust learning.
It begins with a boundary: A geometric view on probabilistically robust learning (2023); L. Bungert (Communications in Partial Differential Equations) The ...