Chris Finlay

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 16

Top Topics

Laplace Beltrami

Piecewise Smooth

Confidence Estimates

Top Venues

SIAM J. Sci. Comput.

Publications

Shi Pan, Chris Finlay, Chri Besenbruch, William J. Knottenbelt
Three Gaps for Quantisation in Learned Image Compression. CVPR Workshops (2021)
Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher J. Pal
Multi-Resolution Continuous Normalizing Flows. CoRR (2021)
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman
How to train your neural ODE. CoRR (2020)
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization. ICML (2020)
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. AISTATS (2020)
Ryan Campbell, Chris Finlay, Adam M. Oberman
Adversarial Boot Camp: label free certified robustness in one epoch. CoRR (2020)
Chris Finlay, Augusto Gerolin, Adam M. Oberman, Aram-Alexandre Pooladian
Learning normalizing flows from Entropy-Kantorovich potentials. CoRR (2020)
Ryan Campbell, Chris Finlay, Adam M. Oberman
Deterministic Gaussian Averaged Neural Networks. CoRR (2020)
Chris Finlay, Adam M. Oberman
Improved Accuracy of Monotone Finite Difference Schemes on Point Clouds and Regular Grids. SIAM J. Sci. Comput. 41 (5) (2019)
Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information. ICCV (2019)
Chris Finlay, Adam M. Oberman
Scaleable input gradient regularization for adversarial robustness. CoRR (2019)
Aram-Alexandre Pooladian, Chris Finlay, Adam M. Oberman
Farkas layers: don't shift the data, fix the geometry. CoRR (2019)
Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman
The LogBarrier adversarial attack: making effective use of decision boundary information. CoRR (2019)
Chris Finlay, Adam M. Oberman
Empirical confidence estimates for classification by deep neural networks. CoRR (2019)
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. CoRR (2019)
Chris Finlay, Adam M. Oberman
Approximate Homogenization of Fully Nonlinear Elliptic PDEs: Estimates and Numerical Results for Pucci Type Equations. J. Sci. Comput. 77 (2) (2018)