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ORCIDTiffany Vlaar
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2020 – today
- 2023
[c4]Maximilian Müller, Tiffany Vlaar, David Rolnick, Matthias Hein:
Normalization Layers Are All That Sharpness-Aware Minimization Needs. NeurIPS 2023- [i6]Maximilian Müller, Tiffany Vlaar, David Rolnick, Matthias Hein:
Normalization Layers Are All That Sharpness-Aware Minimization Needs. CoRR abs/2306.04226 (2023) - 2022
- [c3]Tiffany J. Vlaar, Jonathan Frankle:
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us? ICML 2022: 22325-22341 - [c2]Tiffany J. Vlaar, Benedict J. Leimkuhler:
Multirate Training of Neural Networks. ICML 2022: 22342-22360 - 2021
- [c1]Benedict J. Leimkuhler, Tiffany J. Vlaar, Timothée Pouchon, Amos J. Storkey:
Better Training using Weight-Constrained Stochastic Dynamics. ICML 2021: 6200-6211 - [i5]Benedict J. Leimkuhler, Tiffany Vlaar, Timothée Pouchon, Amos J. Storkey:
Better Training using Weight-Constrained Stochastic Dynamics. CoRR abs/2106.10704 (2021) - [i4]Tiffany Vlaar, Benedict J. Leimkuhler:
Multirate Training of Neural Networks. CoRR abs/2106.10771 (2021) - [i3]Tiffany Vlaar, Jonathan Frankle:
What can linear interpolation of neural network loss landscapes tell us? CoRR abs/2106.16004 (2021) - 2020
- [i2]Benedict J. Leimkuhler, Timothée Pouchon, Tiffany Vlaar, Amos J. Storkey:
Constraint-Based Regularization of Neural Networks. CoRR abs/2006.10114 (2020)
2010 – 2019
- 2019
- [i1]Benedict J. Leimkuhler, Charles Matthews, Tiffany Vlaar:
Partitioned integrators for thermodynamic parameterization of neural networks. CoRR abs/1908.11843 (2019)
Coauthor Index
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