email: mehdi.garrousian <at> gmail.com
Passionate about unraveling complexity through mathematics and harnessing the power of data-driven solutions. With a Ph.D. in Mathematics specializing in Algebraic Combinatorics and Symbolic Computation, I bring years of experience in machine learning and data solutions to the table.
Some papers
- A Blowup algebra for hyperplane arrangements, with Aron Simis and Stefan Tohaneanu, Algebra and Number Theory, Vol. 12 (2018), No. 6, 1401–1429.
- Generalized star configurations and the Tutte polynomial, with Ben Anzis and Stefan Tohaneanu, J Algebr Comb (2017) 46: 165.
- Minimum distance of linear codes and the α-invariant, with Stefan Tohaneanu, Advances in Applied Mathematics 71 (2015), 190-207.
- Modular decomposition of the Orlik-Terao algebra of a hyperplane arrangement, with G. Denham and Stefan Tohaneanu, Ann. Comb. (2014) 18: 289.
- A geometric deletion-restriction formula, with G. Denham and M. Schulze. Advances in Mathematics, 230 (2012) no 4-6, 1979-1994.
Presentations
This is a talk on singularities in machine learning. (Best viewed in full screen)Blogs
Neural language style transfer with WordMentor is the account of a project (joint with Sina Homayooni) on applying transformer language models to tasks such as rephrasing and completion. Our test use case was converting standard English to Shakespeare's style.- © 2017 Mehdi Garrousian
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