Jonathan Rosenthal

According to our database, Jonathan Rosenthal authored at least 5 papers between 2015 and 2024.

Collaborative distances:

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

2024

CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble.

Jonathan Rosenthal, Shanchao Liang, Kevin Zhang, Lin Tan

CoRR, 2024

2023

DisGUIDE: Disagreement-Guided Data-Free Model Extraction.

Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.

Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019

Self-Play Learning Without a Reward Metric.

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

CoRR, 2019

2015

The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning.

Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015