10 citations · 19 across the 3 of their papers we have counts for
4 papers
Schema-learning and rebinding as mechanisms of in-context learning and emergence
Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju +3
In-context learning (ICL) is one of the most powerful and most unexpected capabilities to emerge in recent transformer-based large language models (LLMs). Yet the mechanisms that u…
Fast exploration and learning of latent graphs with aliased observations
Miguel Lazaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan +2
We consider the problem of recovering a latent graph where the observations at each node are \emph{aliased}, and transitions are stochastic. Observations are gathered by an agent t…
A defect in holographic interpretations of tensor networks
Bartlomiej Czech, Phuc H. Nguyen, Sivaramakrishnan Swaminathan
We initiate the study of how tensor networks reproduce properties of static holographic space-times, which are not locally pure anti-de Sitter. We consider geometries that are holo…
Secretly Asymmetric Dark Matter
Prateek Agrawal, Can Kilic, Sivaramakrishnan Swaminathan +1
We study a mechanism where the dark matter number density today arises from asymmetries generated in the dark sector in the early universe, even though total dark matter number rem…