Benjamin Hooberman

According to our database, Benjamin Hooberman authored at least 3 papers between 2019 and 2025.

Collaborative distances:

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

2025

Uncertainty Quantification From Scaling Laws in Deep Neural Networks.

Ibrahim Elsharkawy, Yonatan Kahn, Benjamin Hooberman

CoRR, March, 2025

Uncertainty quantification from ensemble variance scaling laws in deep neural networks.

Ibrahim Elsharkawy, Benjamin Hooberman, Yonatan Kahn

Mach. Learn. Sci. Technol., 2025

2019

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.

Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander G. Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang

CoRR, 2019