4 papers
Muon in Vision Transformers: Optimizer-Recipe Interactions and Gradient Spectra
Ben S. Southworth, Shuai Jiang, Daniel McBride +2
Muon is a recently developed matrix-aware optimizer that has shown strong results in transformer training, but its behavior in vision transformers (ViTs) is not yet well understood…
Quantitative assessment of biological dynamics with aggregate data
Stephen McCoy, Daniel McBride, D. Katie McCullough +4
We develop and apply a learning framework for parameter estimation in initial value problems that are assessed only indirectly via aggregate data such as sample means and/or standa…
Hamiltonian Monte Carlo methods for spectroscopy data analysis
Daniel McBride, Ioannis Sgouralis
We present a scalable Bayesian framework for the analysis of confocal fluorescence spectroscopy data, addressing key limitations in traditional fluorescence correlation spectroscop…
Metric properties of partial and robust Gromov-Wasserstein distances
Jannatul Chhoa, Michael Ivanitskiy, Fushuai Jiang +4
The Gromov-Wasserstein (GW) distances define a family of metrics, based on ideas from optimal transport, which enable comparisons between probability measures defined on distinct m…