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Andrew L. Beam

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.LG1
  • q-bio.GN1
ORCID 0000-0002-6657-2787

identity via Semantic Scholar / OpenAlex

activity
20142024
most citedBayesian Neural Networks for Genetic Association Studies of Complex Disease

38 citations · 40 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024★ 2 cited

The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem

Joe B Hakim, Jeffery L Painter, Darmendra Ramcharran +6

Large language models (LLMs) are useful tools with the capacity for performing specific types of knowledge work at an effective scale. However, LLM deployments in high-risk and saf…

cs.LG2022

Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features

Anil Palepu, Andrew L Beam

Deep learning models trained in a fully supervised manner have been shown to rely on so-called "shortcut" features. Shortcut features are inputs that are associated with the outcom…

q-bio.GN2014★ 38 cited

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Andrew L. Beam, Alison Motsinger-Reif, Jon Doyle

Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.