‪Blake Bullwinkel‬ - ‪Google Scholar‬

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2022202320241 5 6

Co-authors

Pavlos ProtopapasHarvardVerified email at seas.harvard.edu
Marios MattheakisMachine Learning Research EngineerVerified email at alcority.com
Raphaël PellegrinHarvard UniversityVerified email at alumni.harvard.edu
David SondakVerified email at 3ds.com
Dylan RandleHarvard UniversityVerified email at alumni.harvard.edu
Chris TannerMITVerified email at mit.edu

Blake Bullwinkel

Blake Bullwinkel

Harvard University

Verified email at fas.harvard.edu - Homepage

machine learning artificial intelligence


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Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows R Pellegrin, B Bullwinkel, M Mattheakis, P Protopapas arXiv preprint arXiv:2211.00214, 2022	5	2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks B Bullwinkel, D Randle, P Protopapas, D Sondak arXiv preprint arXiv:2209.07081, 2022	4	2022
Evaluating the Fairness Impact of Differentially Private Synthetic Data B Bullwinkel, K Grabarz, L Ke, S Gong, C Tanner, J Allen arXiv preprint arXiv:2205.04321, 2022	3	2022

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