1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Scaling Point-in-Time Language Models: Enabling Economic Evaluation of Embeddings
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…
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…
math.AG2023★ 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…