Set2Graph: Learning Graphs From Sets. - Hadar Serviansky; Nimrod Segol; Jonathan Shlomi; Kyle Cranmer; Eilam Gross; Haggai Maron; Yaron Lipman (NeurIPS, 2020)

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)

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., 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., 2023)

Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction. - Nilotpal Kakati; Etienne Dreyer; Eilam Gross (CoRR, 2024)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. - Claudius Krause; Michele Faucci Giannelli; Gregor Kasieczka; Benjamin Nachman; Dalila Salamani; David Shih; Anna Zaborowska; Oz Amram; Kerstin Borras; Matthew R. Buckley; Erik Buhmann; Thorsten Buss; et al. (CoRR, 2024)

PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction. - Junjian Lu; Siwei Liu 001; Dmitrii Kobylianski; Etienne Dreyer; Eilam Gross; Shangsong Liang (Mach. Learn. Sci. Technol., 2024)

Accelerating graph-based tracking tasks with symbolic regression. - Nathalie Soybelman; Carlo Schiavi; Francesco Armando Di Bello; Eilam Gross (Mach. Learn. Sci. Technol., 2024)