16 citations · 37 across the 9 of their papers we have counts for
5 papers · 1 filter
Controlling Turbulent Flows in Compressible Active Liquid Crystals
Dimitrios Krommydas, Paarth Gulati, Aparna Baskaran +1
Motivated by experiments on light-patterned, quasi-2D active suspensions that exhibit large density variations, we develop a continuum theory of compressible active nematics--suspe…
Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning
Paarth Gulati, Ilya Nemenman
Self-supervised methods that learn representations and predict dynamics fully in the latent space, such as JEPA, have been shown to confuse slowly varying noise with the dynamical…
Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data
K. Michael Martini, Eslam Abdelaleem, Paarth Gulati +1
Identifying the dynamical state variables of a system from high-dimensional observations is a central problem across physical sciences. The challenge is that the state variables ar…
Bicontinuity in active phase separation
Paarth Gulati, Liang Zhao, Michio Tateno +3
We study phase separation between coexisting active and passive fluids in three-dimensions, using numerical simulation and experiments. Chaotic flows of the active phase drive gian…
Mutual information and task-relevant latent dimensionality
Paarth Gulati, Eslam Abdelaleem, Audrey Sederberg +1
Estimating the dimensionality of the latent representation needed for prediction -- the task-relevant dimension -- is a difficult, largely unsolved problem with broad scientific ap…