The ability to extrapolate from short problem instances to longer ones i...
Language models have achieved remarkable performance on a wide range of ...
Although machine learning models typically experience a drop in performa...
A common setting for scientific inference is the ability to sample from ...
Empirical studies suggest that machine learning models often rely on
fea...
Wide neural networks have proven to be a rich class of architectures for...
Given the lack of evidence for new particle discoveries at the Large Had...
Collider data must be corrected for detector effects ("unfolded") to be
...
Precise scientific analysis in collider-based particle physics is possib...
In applications of machine learning to particle physics, a persistent
ch...