3 papers
cs.LG2026
Critical Percolation as a Synthetic Data Model for Interpretability
Aryeh Brill, Tom Ingebretsen Carlson
Neural networks learn features that reflect the hierarchical, multi-scale structure of natural data. Synthetic datasets used to evaluate interpretability methods typically lack thi…
hep-ph2025
Di-Higgs and Effective Field Theory: Signal Reweighting Beyond
L. Cadamuro, T. Ingebretsen Carlson, J. Sjölin
Di-Higgs () production is crucial for probing the Higgs boson self-interaction and understanding the electroweak phase transition. Deviations from Standard Model predictions in…
hep-ph2025
Harnessing Higgs Kinematics for HEFT Constraints
Christoph Englert, Tom Ingebretsen Carlson, Jörgen Sjölin +1
We present a momentum-dependent reweighting strategy to extend current LHC di-Higgs analyses within the -framework and SMEFT into the bosonic sector of the Higgs Effective Fiel…