Lepton-jet correlations with H1 data and machine-learning unfolding*

Recently, jet measurements in deep-inelastic scattering (DIS) events close to Born kinematics have been proposed as a new probe to study transverse-momentum-dependent (TMD) PDFs, TMD fragmentation functions, and TMD evolution. This channel also has great potential to study cold-nuclear matter effects in electron-nucleus DIS. In this talk, I will report measurements of lepton-jet momentum imbalance in high-Q2 DIS events collected with the H1 detector at HERA.  These data bridge DIS measurements from fixed target experiments and Drell-Yan measurements at colliders, thus providing a stringent test of TMD factorization, evolution and universality. This measurement also represents the first example of unfolding assisted with machine learning. These results serve as a pathfinder for the Electron-Ion Collider 3D imaging program.