1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Scaling Point-in-Time Language Models
Bryan Kelly, Semyon Malamud, Johannes Schwab +1
Large language models trained on unrestricted internet corpora inevitably embed information from the future, introducing lookahead bias that compromises the validity of backtests a…
math.AG2026★ 1 cited
Visible Lagrangians for Hitchin Systems and Pillowcase Covers
Johannes Horn, Johannes Schwab
We study complex Lagrangians in Hitchin systems that factor through a proper subvariety of the Hitchin base non-trivially intersecting the regular locus. This gives a general frame…
cs.LG2025
Training NTK to Generalize with KARE
Johannes Schwab, Bryan Kelly, Semyon Malamud +1
The performance of the data-dependent neural tangent kernel (NTK; Jacot et al. (2018)) associated with a trained deep neural network (DNN) often matches or exceeds that of the full…