290 citations · 682 across the 9 of their papers we have counts for
9 papers
Universal energy-accuracy tradeoffs in nonequilibrium cellular sensing
S. E. Harvey, S. Lahiri, S. Ganguli
We combine stochastic thermodynamics, large deviation theory, and information theory to derive fundamental limits on the accuracy with which single cell receptors can estimate exte…
Random projections of random manifolds
Subhaneil Lahiri, Peiran Gao, Surya Ganguli
Interesting data often concentrate on low dimensional smooth manifolds inside a high dimensional ambient space. Random projections are a simple, powerful tool for dimensionality re…
Exponential expressivity in deep neural networks through transient chaos
Ben Poole, Subhaneil Lahiri, Maithra Raghu +2
We combine Riemannian geometry with the mean field theory of high dimensional chaos to study the nature of signal propagation in generic, deep neural networks with random weights.…
A universal tradeoff between power, precision and speed in physical communication
Subhaneil Lahiri, Jascha Sohl-Dickstein, Surya Ganguli
Maximizing the speed and precision of communication while minimizing power dissipation is a fundamental engineering design goal. Also, biological systems achieve remarkable speed,…
Statistical mechanics of complex neural systems and high dimensional data
Madhu Advani, Subhaneil Lahiri, Surya Ganguli
Recent experimental advances in neuroscience have opened new vistas into the immense complexity of neuronal networks. This proliferation of data challenges us on two parallel front…
Lumps of plasma in arbitrary dimensions
Jyotirmoy Bhattacharya, Subhaneil Lahiri
We use the AdS/CFT correspondence in a regime in which the field theory reduces to fluid dynamics to construct an infinite class of new black objects in Scherk-Schwarz compactified…