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About me
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Published in Advances in Neural Information Processing Systems (NeurIPS), 2021
This paper was also published as an article in a JSTAT special edition on Statistical Physics aspects of Machine Learning/Artificial Intelligence
Recommended citation: J. A. Zavatone-Veth, A. Canatar, Benjamin S. Ruben, and C. Pehlevan. (2021). "Asymptotics of representation learning in finite Bayesian networks." Advances in Neural Information Processing Systems (NeurIPS). https://proceedings.neurips.cc/paper_files/paper/2021/file/cf9dc5e4e194fc21f397b4cac9cc3ae9-Paper.pdf
Published in Biophysical Journal, 2023
Recommended citation: Benjamin S. Ruben, Vinicius Contessoto, Michele Di Pierro, Ryan Cheng, Jose Onuchic. (2023). "Structural Reorganization and Relaxation Dynamics of Axially Stressed Chromosomes." Biophysical Journal. https://www.cell.com/biophysj/abstract/S0006-3495(23)00202-3
Published in Advances in Neural Information Processing Systems (NeurIPS), 2023
Recommended citation: Benjamin S. Ruben, Cengiz Pehlevan. (2023). "Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles." Advances in Neural Information Processing Systems (NeurIPS). http://academicpages.github.io/files/paper1.pdf
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Teaching Fellow, Harvard, 2021
Introductory undergraduate course on mechanics taught in Fall 2021 by Dr. Eric Mazur.
Teaching Fellow, Harvard, 2022
Undergraduate course on statistical mechanics and thermodynamics taught in Spring 2022 by Dr. Susanne Yelin.
Teaching Fellow, Harvard, 2022
Graduate level course taught in Fall 2022 by Dr. Cengiz Pehlevan (my advisor).
Teaching Fellow, Harvard, 2024
Undergraduate course introducing applied mathematics through modules on Sports Modeling, Epidemiology, Networks, Random Walks, Information Theory, and Machine Learning.
Taught in Spring 2024 by Dr. Cengiz Pehlevan (my advisor).