Sat, 10/17/2020

Organized by India, a large number of scientists from India and the Indian diaspora provided ideas for Atmanirbhar Bharat related initiatives. Dr. Ravela was a panelist on Machine Learning and Inversion.  He presented the framework for Informative Learning and Optimization, which is a key...

Sat, 10/10/2020

Trautner, Margolis, and Ravela  won the "Top 5" recognition for the paper presented at the  DDDAS 2020 conference. This paper contains three fundamentally transformative components: 1) Informative Ensemble Learning provides an efficacious parallel...

Fri, 08/14/2020

Our paper, found here wins the best student paper award at the KDD 2020 Fragile Earth workshop....

Tue, 06/02/2020

Our own Gabriel will stay at the institute for an MENG in Robotics!

Mon, 06/01/2020

Our own Margaret, who worked on Neural Dynamical Systems, will head to Caltech for graduate school

Tue, 03/03/2020

We presented a video and paper at the Winter Applications of Computer Vision Conference (WACV 2020) in the Deep Learning for Animal Re-Identification Workshop.



Mon, 01/27/2020

We presented our work on long-range prediction and climate risk to a mixed academic-industrial audience, much fun it was!

Sat, 01/25/2020

Under a collaboration, we are developing adaptive autopilots to handle rapid unmodeled aircraft configuration changes, Dr. Ankit Goel visits us


Thu, 11/14/2019

Ziwei Li and Sai Ravela discuss how

  • The predictability of neural networks is near identical to the chaotic dynamics they learn from
  • This they argue is because neural Networks follow a path to chaos through alternate stretching and compression
  • Very few training...
Mon, 11/04/2019

Sai Ravela presents at Shell, arguing for theory-data symbiosis, which includes:

  • Models from theory suffer from nonlinearity, dimensionality and uncertainty
  • Models from data suffer from the above plus issues of generalization, extrapolation, and the representation of theory...