Chris Finlay

Chri Besenbruch

William J. Knottenbelt

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Adversarial Boot Camp: label free certified robustness in one epoch.

[BibT_eX]

[DOI]

Ryan Campbell

CoRR, 2020

Deterministic Gaussian Averaged Neural Networks.

[BibT_eX]

[DOI]

Ryan Campbell

CoRR, 2020

Learning normalizing flows from Entropy-Kantorovich potentials.

[BibT_eX]

[DOI]

Augusto Gerolin

CoRR, 2020

How to train your neural ODE.

[BibT_eX]

[DOI]

CoRR, 2020

How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

A principled approach for generating adversarial images under non-smooth dissimilarity metrics.

[BibT_eX]

[DOI]

Tim Hoheisel

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Improved Accuracy of Monotone Finite Difference Schemes on Point Clouds and Regular Grids.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2019

Farkas layers: don't shift the data, fix the geometry.

[BibT_eX]

[DOI]

CoRR, 2019

Scaleable input gradient regularization for adversarial robustness.

[BibT_eX]

[DOI]

CoRR, 2019

Empirical confidence estimates for classification by deep neural networks.

[BibT_eX]

[DOI]

CoRR, 2019

The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Approximate Homogenization of Fully Nonlinear Elliptic PDEs: Estimates and Numerical Results for Pucci Type Equations.

[BibT_eX]

[DOI]