Eilam Gross

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Definite Clause

Dependency Graph

Discrete Event Simulation

Independent Set

Top Venues

Mach. Learn. Sci. Technol.

Comput. Softw. Big Sci.

Publications

Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction. CoRR (2024)
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
Configurable calorimeter simulation for AI applications. Mach. Learn. Sci. Technol. 4 (3) (2023)
Nathalie Soybelman, Nilotpal Kakati, Lukas Heinrich, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Marumi Kado, Jonathan Shlomi
Set-conditional set generation for particle physics. Mach. Learn. Sci. Technol. 4 (4) (2023)
Francesco Armando Di Bello, Anton Charkin-Gorbulin, Kyle Cranmer, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Lorenzo Santi, Marumi Kado, Nilotpal Kakati, Patrick Rieck, Matteo Tusoni
Configurable calorimeter simulation for AI applications. CoRR (2023)
Francesco Armando Di Bello, Jonathan Shlomi, Chiara Badiali, Guglielmo Frattari, Eilam Gross, Valerio Ippolito, Marumi Kado
Efficiency Parameterization with Neural Networks. Comput. Softw. Big Sci. 5 (1) (2021)
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
Set2Graph: Learning Graphs From Sets. CoRR (2020)
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
Set2Graph: Learning Graphs From Sets. NeurIPS (2020)