Heterogeneous Instructive Signals Enable Ensemble Learning in Cerebellar Cortex
Benjamin S. Ruben, Cengiz Pehlevan. (2026). "Heterogeneous Instructive Signals Enable Ensemble Learning in Cerebellar Cortex." bioRxiv.
Publications
Preprints
Articles
No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions
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).
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
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).
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
Benjamin S. Ruben, Cengiz Pehlevan. (2023). "Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles." Advances in Neural Information Processing Systems (NeurIPS).
Structural Reorganization and Relaxation Dynamics of Axially Stressed Chromosomes
Benjamin S. Ruben, Vinicius Contessoto, Michele Di Pierro, Ryan Cheng, Jose Onuchic. (2023). "Structural Reorganization and Relaxation Dynamics of Axially Stressed Chromosomes." Biophysical Journal.
Asymptotics of representation learning in finite Bayesian networks
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).