15 citations · 45 across the 9 of their papers we have counts for
11 papers
Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning
Anamitra Saha, Sai Ravela
Modeling the risk of extreme weather events in a changing climate is essential for developing effective adaptation and mitigation strategies. Although the available low-resolution…
An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults
Joonghyun Lee, John Spencer, Juan Augusto Paredes +3
This paper develops an adaptive digital autopilot for a fixed-wing aircraft and compares its performance with a fixed-gain autopilot. The adaptive digital autopilot is constructed…
Learn Like The Pro: Norms from Theory to Size Neural Computation
Margaret Trautner, Ziwei Li, Sai Ravela
The optimal design of neural networks is a critical problem in many applications. Here, we investigate how dynamical systems with polynomial nonlinearities can inform the design of…
Experimental Implementation of an Adaptive Digital Autopilot
Ankit Goel, Juan Augusto Paredes, Harshil Dadhaniya +4
This paper develops an adaptive digital autopilot for quadcopters and presents experimental results. The adaptive digital autopilot is constructed by augmenting the PX4 autopilot c…
Informative Neural Ensemble Kalman Learning
Margaret Trautner, Gabriel Margolis, Sai Ravela
In stochastic systems, informative approaches select key measurement or decision variables that maximize information gain to enhance the efficacy of model-related inferences. Neura…
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling
Nishant Yadav, Sai Ravela, Auroop R. Ganguly
Systems exhibiting nonlinear dynamics, including but not limited to chaos, are ubiquitous across Earth Sciences such as Meteorology, Hydrology, Climate and Ecology, as well as Biol…