Jonathan S. Rosenfeld

According to our database, Jonathan S. Rosenfeld authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Reasoning Models Know What's Important, and Encode It in Their Activations.

Yaniv Nikankin, Martin Tutek, Tomer Ashuach, Jonathan S. Rosenfeld, Yonatan Belinkov

CoRR, April, 2026

2023

Cliff-Learning.

Tony T. Wang, Igor Zablotchi, Nir Shavit, Jonathan S. Rosenfeld

CoRR, 2023

2021

Scaling Laws for Deep Learning.

Jonathan S. Rosenfeld

PhD thesis, 2021

Scaling Laws for Deep Learning.

Jonathan S. Rosenfeld

CoRR, 2021

On the Predictability of Pruning Across Scales.

Jonathan S. Rosenfeld, Jonathan Frankle, Michael Carbin, Nir Shavit

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Constructive Prediction of the Generalization Error Across Scales.

Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Self-Play Learning Without a Reward Metric.

Dan Schmidt, Nick Moran, Jonathan S. Rosenfeld, Jonathan Rosenthal, Jonathan S. Yedidia

CoRR, 2019

Simplicity and Probability in Human Judgment.

Tyler Brooke-Wilson, Jonathan S. Rosenfeld, Matthias Hofer, Junyi Chu, Josh Tenenbaum

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019