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...
News
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.
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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...
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