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Ankush Chakrabarty

As seen in: Color Research & Application, Wiley Online Library
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Articles

Computer Science > Artificial Intelligence

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By Ankush Chakrabarty, John Lygeros, Niklas Schmid
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Robust data‐driven dynamic optimization using a set‐based gradient estimator

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By Ali Kashani, Shirin Panahi, Ankush Chakrabarty, Claus Danielson
| Wiley Online Library Verified
REFERENCES 1. Sur l'electrifaction des Chemins de fer au Moyen de Courantsalternatifs de Frequence Elevee. Vol 2. Revue Générale de l'électricité; 1922: 275-277. 2, , , , , . Extremum seeking control for simultaneous beam steering and wavefront correction. 2006 American Control Conference. IEEE; 2006: 6. 3, , . Extremum seeking control with an adaptive gain based on gradient estimation error. IEEE Trans Syst Man Cybern Syst. 2022; 53: 152-164. 4, , , , .
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BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems

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By Ankush Chakrabarty, Joel A. Paulson
| arxiv.org
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