Sotabase

Career

· PhD Intern, Autonomous Vehicle Perception, Nvidia2021–2021
· MSc in Computational and Mathematical Engineering, Stanford University2019–
· SWE Intern, Google2018–2018
· PhD Student, Stanford University2018–2023
· Computer Science Teacher, Modern American School2016–2017
· Research Intern, IBM R&D2015–2015
· BSc in Applied Mathematics, Instituto Tecnológico Autónomo de México2015–
· BSc in Computer Engineering, Instituto Tecnológico Autónomo de México2015–
· Tech Lead, Full stack developer, Nexu.mx2015–2017
· Machine Learning engineer, Whispr Inc.

Publications (9)

International Conference on Learning Representations · 2020
92
cited
International Conference on Machine Learning · 2020
36
cited
Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion
arXiv.org · 2021
9
cited
Proceedings of Cognitive Computational Neuroscience 2025 · 2025
5
cited
Mexican Conference on Pattern Recognition · 2017
2
cited
2022 Conference on Cognitive Computational Neuroscience · 2022
Robust and scalable credit assignment without weight symmetry
International Conference on Machine Learning · 2020
Sotabase
Javier Sagastuy-Brena | Researcher Profile | Sotabase | Sotabase