Approximate Homogenization of Fully Nonlinear Elliptic PDEs: Estimates and Numerical Results for Pucci Type Equations. - Chris Finlay; Adam M. Oberman (J. Sci. Comput., 2018)

The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information. - Chris Finlay; Aram-Alexandre Pooladian; Adam M. Oberman (ICCV, 2019)

Empirical confidence estimates for classification by deep neural networks. - Chris Finlay; Adam M. Oberman (CoRR, 2019)

Scaleable input gradient regularization for adversarial robustness. - Chris Finlay; Adam M. Oberman (CoRR, 2019)

Farkas layers: don't shift the data, fix the geometry. - Aram-Alexandre Pooladian; Chris Finlay; Adam M. Oberman (CoRR, 2019)

Improved Accuracy of Monotone Finite Difference Schemes on Point Clouds and Regular Grids. - Chris Finlay; Adam M. Oberman (SIAM J. Sci. Comput., 2019)

A principled approach for generating adversarial images under non-smooth dissimilarity metrics. - Aram-Alexandre Pooladian; Chris Finlay; Tim Hoheisel; Adam M. Oberman (AISTATS, 2020)

How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization. - Chris Finlay; Jörn-Henrik Jacobsen; Levon Nurbekyan; Adam M. Oberman (ICML, 2020)

How to train your neural ODE. - Chris Finlay; Jörn-Henrik Jacobsen; Levon Nurbekyan; Adam M. Oberman (CoRR, 2020)

Learning normalizing flows from Entropy-Kantorovich potentials. - Chris Finlay; Augusto Gerolin; Adam M. Oberman; Aram-Alexandre Pooladian (CoRR, 2020)

Deterministic Gaussian Averaged Neural Networks. - Ryan Campbell; Chris Finlay; Adam M. Oberman (CoRR, 2020)

Adversarial Boot Camp: label free certified robustness in one epoch. - Ryan Campbell; Chris Finlay; Adam M. Oberman (CoRR, 2020)

Three Gaps for Quantisation in Learned Image Compression. - Shi Pan; Chris Finlay; Chri Besenbruch; William J. Knottenbelt (CVPR Workshops, 2021)

Multi-resolution continuous normalizing flows. - Vikram Voleti; Chris Finlay; Adam Oberman; Christopher Pal (Ann. Math. Artif. Intell., 2024)