Tiffany Vlaar

According to our database, Tiffany Vlaar authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Normalization Layers Are All That Sharpness-Aware Minimization Needs.

Maximilian Müller, Tiffany Vlaar, David Rolnick, Matthias Hein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Multirate Training of Neural Networks.

Tiffany J. Vlaar, Benedict J. Leimkuhler

Proceedings of the International Conference on Machine Learning, 2022

What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?

Tiffany J. Vlaar, Jonathan Frankle

Proceedings of the International Conference on Machine Learning, 2022

2021

Better Training using Weight-Constrained Stochastic Dynamics.

Benedict J. Leimkuhler, Tiffany J. Vlaar, Timothée Pouchon, Amos J. Storkey

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Constraint-Based Regularization of Neural Networks.

Benedict J. Leimkuhler, Timothée Pouchon, Tiffany Vlaar, Amos J. Storkey

CoRR, 2020

2019

Partitioned integrators for thermodynamic parameterization of neural networks.

Benedict J. Leimkuhler, Charles Matthews, Tiffany Vlaar

CoRR, 2019