1.6k citations · 3.1k across the 31 of their papers we have counts for
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Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, Robert Ajemian +4
Lack of performance when it comes to continual learning over non-stationary distributions of data remains a major challenge in scaling neural network learning to more human realist…
Deciphering gene regulation from gene expression dynamics using deep neural network
Jingxiang Shen, Mariela D. Petkova, Yuhai Tu +2
Complex biological functions are carried out by the interaction of genes and proteins. Uncovering the gene regulation network behind a function is one of the central themes in biol…
Hydrodynamic Theory of Flocking in the Presence of Quenched Disorder
John Toner, Nicholas Guttenberg, Yuhai Tu
The effect of quenched (frozen) orientational disorder on the collective motion of active particles is analyzed. We find that, as with annealed disorder (Langevin noise), active po…
Swarming in the Dirt: Ordered Flocks with Quenched Disorder
John Toner, Nicholas Guttenberg, Yuhai Tu
The effect of quenched (frozen) disorder on the collective motion of active particles is analyzed. We find that active polar systems are far more robust against quenched disorder t…
Design principles and optimal performance for molecular motors under realistic constraints
Yuhai Tu, Yuansheng Cao
The performance of a molecular motor, characterized by its power output and energy efficiency, is investigated in the motor design space spanned by the stepping rate function and t…