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publications
Asymptotics of representation learning in finite Bayesian networks
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
Structural Reorganization and Relaxation Dynamics of Axially Stressed Chromosomes
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
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
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
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
Published in Advances in Neural Information Processing Systems (NeurIPS), 2024
Recommended citation: William Qian, Jacob A. Zavatone-Veth, Benjamin S. Ruben, Cengiz Pehlevan (2024). "Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics." Advances in Neural Information Processing Systems 37 (NeurIPS 2024). https://proceedings.neurips.cc/paper_files/paper/2024/file/7caf9d251b546bc78078b35b4a6f3b7e-Paper-Conference.pdf
No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions
Published in International Conference on Machine Learning (ICML), 2025
Recommended citation: Benjamin S. Ruben, William L. Tong, Hamza Tahir Chaudhry, Cengiz Pehlevan (2025). "No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions." Internaltional Conference on Machine Learning (ICML). https://icml.cc/virtual/2025/poster/43492
Heterogeneous Instructive Signals Enable Ensemble Learning in Cerebellar Cortex
Preprint on bioRxiv, 2026
Recommended citation: Benjamin S. Ruben, Cengiz Pehlevan. (2026). "Heterogeneous Instructive Signals Enable Ensemble Learning in Cerebellar Cortex." bioRxiv. https://www.biorxiv.org/content/10.64898/2026.05.06.723116v1
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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