Eilam Gross

According to our database, Eilam Gross authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction.

Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang

CoRR, 2024

2023

Set-conditional set generation for particle physics.

Nathalie Soybelman, Nilotpal Kakati, Lukas Heinrich, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Marumi Kado, Jonathan Shlomi

Mach. Learn. Sci. Technol., December, 2023

Configurable calorimeter simulation for AI applications.

Anton Charkin-Gorbulin, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Marumi Kado, Nilotpal Kakati, Patrick Rieck, Lorenzo Santi, Matteo Tusoni

Mach. Learn. Sci. Technol., September, 2023

2021

Efficiency Parameterization with Neural Networks.

Francesco Armando Di Bello, Jonathan Shlomi, Chiara Badiali, Guglielmo Frattari, Eilam Gross, Valerio Ippolito, Marumi Kado

Comput. Softw. Big Sci., 2021

2020

Set2Graph: Learning Graphs From Sets.

Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020