1 citations · 1 across the 2 of their papers we have counts for
3 papers
Improving Neural Symbolic Regression with a Diverse Prior and Post-training Alignment
David Otte, Jörg K. H. Franke, Frank Hutter
Symbolic regression is the problem of finding an expression that fits a dataset. Solving it requires searching a combinatorial space of candidate expressions. Neural symbolic regre…
MHR: Momentum Human Rig
Aaron Ferguson, Ahmed A. A. Osman, Berta Bescos +44
We present MHR, a parametric human body model that combines the decoupled skeleton/shape paradigm of ATLAS with a flexible, modern rig and pose corrective system inspired by the Mo…
Towards Scaling Laws for Symbolic Regression
David Otte, Jörg K. H. Franke, Arbër Zela +2
Symbolic regression (SR) aims to discover the underlying mathematical expressions that explain observed data. This holds promise for both gaining scientific insight and for produci…