Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks. - Michael James Fenton; Alexander Shmakov; Ta-Wei Ho; Shih-Chieh Hsu; Daniel Whiteson; Pierre Baldi (CoRR, 2020)

SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention. - Alexander Shmakov; Michael James Fenton; Ta-Wei Ho; Shih-Chieh Hsu; Daniel Whiteson; Pierre Baldi (CoRR, 2021)

End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. - Alexander Shmakov; Kevin Greif; Michael James Fenton; Aishik Ghosh; Pierre Baldi; Daniel Whiteson (NeurIPS, 2023)

Extended Symmetry Preserving Attention Networks for LHC Analysis. - Michael James Fenton; Alexander Shmakov; Hideki Okawa; Yuji Li; Ko-Yang Hsiao; Shih-Chieh Hsu; Daniel Whiteson; Pierre Baldi (CoRR, 2023)

Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion. - Alexander Shmakov; Kevin Greif; Michael James Fenton; Aishik Ghosh; Pierre Baldi; Daniel Whiteson (CoRR, 2024)

The Landscape of Unfolding with Machine Learning. - Nathan Huetsch; Javier Mariño Villadamigo; Alexander Shmakov; Sascha Diefenbacher; Vinicius Mikuni; Theo Heimel; Michael James Fenton; Kevin Greif; Benjamin Nachman; Daniel Whiteson; Anja Butter; Tilman Plehn (CoRR, 2024)