Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
jNO: A JAX Library for Neural Operator and Foundation Model Training
Leon Armbruster, Rathan Ramesh, Georg Kruse +1
jNO (jax Neural Operators) is a JAX-native library for neural operators and foundation models with unified support for both data-driven and physics-informed training. Its core desi…
cs.LG2026
Physics-informed fine-tuning of foundation models for partial differential equations
Vlad Medvedev, Leon Armbruster, Christopher Straub +2
Foundation models for partial differential equations (PDEs) have emerged as powerful surrogates pre-trained on diverse physical systems, but adapting them to new downstream tasks r…