Search Results for author:
Found 4 papers, 2 papers with code
Domain constraints improve risk prediction when outcome data is missing
Though our case study is in healthcare, our analysis reveals a general class of domain constraints which can improve model estimation in many settings.
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers
Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future.
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
We present OAVNN: Orientation Aware Vector Neuron Network, an extension of the Vector Neuron Network.
ATOM3D: Tasks On Molecules in Three Dimensions
We implement several classes of three-dimensional molecular learning methods for each of these tasks and show that they consistently improve performance relative to methods based on one- and two-dimensional representations.
