20 citations · 39 across the 6 of their papers we have counts for
6 papers
A Metric Driven Approach to Mixed Precision Training
Mitchelle Rasquinha, Gil Tabak
As deep learning methodologies have developed, it has been generally agreed that increasing neural network size improves model quality. However, this is at the expense of memory an…
Factorization of Linear Quantum Systems with Delayed Feedback
Gil Tabak, Ryan Hamerly, Hideo Mabuchi
We consider the transfer functions describing the input-output relation for a class of linear open quantum systems involving feedback with nonzero time delays. We show how such tra…
Correcting Nuisance Variation using Wasserstein Distance
Gil Tabak, Minjie Fan, Samuel J. Yang +2
Profiling cellular phenotypes from microscopic imaging can provide meaningful biological information resulting from various factors affecting the cells. One motivating application…
Trapped Modes in Linear Quantum Stochastic Networks with Delays
Gil Tabak, Hideo Mabuchi
Networks of open quantum systems with feedback have become an active area of research for applications such as quantum control, quantum communication and coherent information proce…
Systematic Stochastic Reduction of Inertial Fluid-Structure Interactions subject to Thermal Fluctuations
Gil Tabak, Paul J. Atzberger
We investigate the dynamics of elastic microstructures within a fluid that are subjected to thermal fluctuations. We perform analysis to obtain systematically simplified descriptio…
The First Three Rungs of the Cosmological Distance Ladder
Kevin Krisciunas, Erika DeBenedictis, Jeremy Steeger +3
It is straightforward to determine the size of the Earth and the distance to the Moon without making use of a telescope. The methods have been known since the 3rd century BC. Howev…