Danielle Maddix Robinson
Senior Applied Scientist, AWS AI Labs, PhD in Computational and Mathematical Engineering, Stanford University
- Bay Area, California
- Github
- Google Scholar
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Mitra: Mixed synthetic priors for enhancing tabular foundation models
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Published:
Featured blog by Amazon Science on our tabular foundation model Mitra, which is trained purely on synthetic data and obtains state-of-the-art performance on classification and regression tasks. Mitra is available in AutoGluon 1.4, and we have also released the weights on HuggingFace. Find the Mitra classifier here and regressor here.
A Lasting Legacy in Math and Science
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Published:
Blog, see pages 6-7 on how my parents inspired my love of math and science.
How applied math impacts forecasting at Amazon
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Featured blog by Amazon Science on my research on our award-winning paper on COVID-19 forecasting, where I advised our summer PhD student intern Rui (Ray) Wang.
Paper on forecasting spread of COVID-19 wins best-paper award
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Published:
Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.