Mariano Schain
Mariano, Staff Software Engineer at Google Research, was for many years Senior Member of the Technical Staff at Texas Instruments, serving in TI’s Broadband group as Software Manager, Chief Software Architect, and Manager of Methodologies. A Dan-David Prize scholar (2014), Mariano’s Machine Learning research focuses on robustness, mainly in the theory and practice of optimization for Natural Language Processing and autonomous agents.
Authored Publications
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Google
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
Ariel Goldstein
Avigail Grinstein-Dabush
Haocheng Wang
Zhuoqiao Hong
Bobbi Aubrey
Samuel A. Nastase
Zaid Zada
Eric Ham
Harshvardhan Gazula
Eliav Buchnik
Werner Doyle
Sasha Devore
Patricia Dugan
Roi Reichart
Daniel Friedman
Orrin Devinsky
Adeen Flinker
Uri Hasson
Nature Communications (2024)
Shared computational principles for language processing in humans and deep language models
Ariel Goldstein
Zaid Zada
Eliav Buchnik
Amy Price
Bobbi Aubrey
Samuel A. Nastase
Harshvardhan Gazula
Gina Choe
Aditi Rao
Catherine Kim
Colton Casto
Lora Fanda
Werner Doyle
Daniel Friedman
Patricia Dugan
Lucia Melloni
Roi Reichart
Sasha Devore
Adeen Flinker
Liat Hasenfratz
Omer Levy,
Kenneth A. Norman
Orrin Devinsky
Uri Hasson
Nature Neuroscience (2022)
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman
Sandeep Silwal
Samson Zhou
Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (2021)
Scalable Learning of Non-Decomposable Objectives
Alan Mackey
Ariel Gordon
arXiv preprint arXiv:1608.04802 (2016)
History-Independent Distributed Multi-agent Learning
Amos Fiat
Algorithmic Game Theory: 9th International Symposium, SAGT 2016, Proceedings, Springer, pp. 77-89
Robust Domain Adaptation
Annals of Mathematics and Artificial Intelligence, 71 Issue 4 (2014), 365–380
