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Results for: Alessandra Sutti

Accelerated Bayesian Optimisation through Weight-Prior Tuning

A. Shilton, S. Gupta, S. Rana, P. Vellanki, C. Li, S. Venkatesh, L. Park, A. Sutti, D. Rubin, T. Dorin, O.

2020 / pp. 635 - 645 / Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)

Improving the Tensile Properties of Wet Spun Silk Fibers Using Rapid Bayesian Algorithm

Y. Yao, B. Allardyce, R. Rajkhowa, D. Hegh, A. Sutti, S. Subianto, S. Gupta, S. Rana, S. Greenhill, S. Venkatesh, O.

2020 / Vol. 6, pp. 3197 - 3207 / ACS Biomaterials Science & Engineering

Bayesian functional optimisation with shape prior

P. Vellanki, S. Rana, S. Gupta, D. Leal, A. Sutti, M. Height, S. Venkatesh

2019 / pp. (Accepted 1 Nov 2018) / The AAAI Conference on Artificial Intelligence (AAAI)

Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces Using an Amphiphilic Polymer

S. Subianto, C. Li, D. Rubín, S. Rana, S. Gupta, R. He, S. Venkatesh, A. Sutti

2019 / Vol. 4, pp. 15912 - 15922 / ACS omega

Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Accelerating Experimental Design by Incorporating Experimenter Hunches

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)