55 citations · 132 across the 17 of their papers we have counts for
17 papers
LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems
Shida Liu, Abhishek Gupta, Sumit Sinha +1
Symmetry is central to modern machine learning and physics: invariances and equivariances improve sample efficiency, robustness, and out-of-distribution generalization, while symme…
Generative optimal transport via forward-backward HJB matching
Haiqian Yang, Vishaal Krishnan, Sumit Sinha +1
Controlling the evolution of a many-body stochastic system from a disordered reference state to a structured target ensemble, characterized empirically through samples, arises natu…
Morphological instability of an invasive active-passive interface
Sumit Sinha, Haiqian Yang, L Mahadevan
Morphological instabilities of growing tissues that impinge on passive materials are typical of invasive cancers. To explain these instabilities in experiments on breast epithelial…
Controlling the morphologies and dynamics in three-dimensional tissues
Rajsekhar Das, Xin Li, Sumit Sinha +1
A number of factors, such as, cell-cell interactions and self-propulsion of cells driven by cytoskeletal forces determine tissue morphologies and dynamics. To explore the interplay…
Hamiltonian bridge: A physics-driven generative framework for targeted pattern control
Vishaal Krishnan, Sumit Sinha, L. Mahadevan
Patterns arise spontaneously in a range of systems spanning the sciences, and their study typically focuses on mechanisms to understand their evolution in space-time. Increasingly,…
Proliferation-driven mechanical feedback regulates cell dynamics in growing tissues
Sumit Sinha, Xin Li, Abdul N Malmi-Kakkada +1
Local stresses in a tissue, a collective property, regulate cell division and apoptosis. In turn, cell growth and division induce active stresses in the tissue. As a consequence, t…