42 citations · 75 across the 7 of their papers we have counts for
7 papers
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
Ravi Srinivasan, Francesca Mignacco, Martino Sorbaro +4
"Forward-only" algorithms, which train neural networks while avoiding a backward pass, have recently gained attention as a way of solving the biologically unrealistic aspects of ba…
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown, Russell Coleman, Ravi Srinivasan +1
Bayesian reward learning from demonstrations enables rigorous safety and uncertainty analysis when performing imitation learning. However, Bayesian reward learning methods are typi…
Early Detection of Influenza outbreaks in the United States
Kai Liu, Ravi Srinivasan, Lauren Ancel Meyers
Public health surveillance systems often fail to detect emerging infectious diseases, particularly in resource limited settings. By integrating relevant clinical and internet-sourc…
An invariant in shock clustering and Burgers turbulence
Ravi Srinivasan
1-D scalar conservation laws with convex flux and Markov initial data are now known to yield a completely integrable Hamiltonian system. In this article, we rederive the analogue o…
Kinetic theory and Lax equations for shock clustering and Burgers turbulence
Govind Menon, Ravi Srinivasan
We study shock statistics in the scalar conservation law , , , with a convex flux and spatially random initial data. We show th…
Rates of convergence for Smoluchowski's coagulation equations
Ravi Srinivasan
We establish nearly optimal rates of convergence to self-similar solutions of Smoluchowski's coagulation equation with kernels , , and . The method is a simple an…