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Andrew Beam
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 15
Top Topics
Conformal Prediction
Top Venues
CoRR
AMIA
J. Biomed. Informatics
MLHC
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Publications
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Yining Hua
,
Fenglin Liu
,
Kailai Yang
,
Zehan Li
,
Yi-han Sheu
,
Peilin Zhou
,
Lauren V. Moran
,
Sophia Ananiadou
,
Andrew Beam
Large Language Models in Mental Health Care: a Scoping Review.
CoRR
(2024)
David R. Bellamy
,
Bhawesh Kumar
,
Cindy Wang
,
Andrew Beam
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data.
CoRR
(2023)
Bhawesh Kumar
,
Charlie Lu
,
Gauri Gupta
,
Anil Palepu
,
David R. Bellamy
,
Ramesh Raskar
,
Andrew Beam
Conformal Prediction with Large Language Models for Multi-Choice Question Answering.
CoRR
(2023)
Anil Palepu
,
Andrew Beam
TIER: Text-Image Entropy Regularization for Medical CLIP-style models.
MLHC
(2023)
Bhawesh Kumar
,
Anil Palepu
,
Rudraksh Tuwani
,
Andrew Beam
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction.
CoRR
(2022)
Benjamin Kompa
,
David R. Bellamy
,
Thomas Kolokotrones
,
James M. Robins
,
Andrew Beam
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction.
NeurIPS
(2022)
Allen Schmaltz
,
Andrew Beam
Exemplar Auditing for Multi-Label Biomedical Text Classification.
CoRR
(2020)
Allen Schmaltz
,
Andrew Beam
Coarse-to-Fine Memory Matching for Joint Retrieval and Classification.
CoRR
(2020)
Benjamin Kompa
,
Jasper Snoek
,
Andrew Beam
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures.
CoRR
(2020)
Hadi Amiri
,
Andrew Beam
,
Isaac S. Kohane
Learning to Estimate Nutrition Facts from Food Descriptions.
AMIA
(2019)
Wenxin Ning
,
Stephanie Chan
,
Andrew Beam
,
Ming Yu
,
Alon Geva
,
Katherine P. Liao
,
Mary Mullen
,
Kenneth D. Mandl
,
Isaac S. Kohane
,
Tianxi Cai
,
Sheng Yu
Feature extraction for phenotyping from semantic and knowledge resources.
J. Biomed. Informatics
91 (2019)
Luwan Zhang
,
Yichi Zhang
,
Tianrun A. Cai
,
Yuri Ahuja
,
Zeling He
,
Yuk-Lam Ho
,
Andrew Beam
,
Kelly Cho
,
Robert Carroll
,
Joshua C. Denny
,
Isaac S. Kohane
,
Katherine P. Liao
,
Tianxi Cai
Automated grouping of medical codes via multiview banded spectral clustering.
J. Biomed. Informatics
100 (2019)
Adrian V. Dalca
,
Matthew B. A. McDermott
,
Emily Alsentzer
,
Samuel G. Finlayson
,
Michael Oberst
,
Fabian Falck
,
Corey Chivers
,
Andrew Beam
,
Tristan Naumann
,
Brett K. Beaulieu-Jones
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different?
ML4H@NeurIPS
(2019)
Tianrun A. Cai
,
Andrew Beam
,
Stephanie Chan
,
Jacqueline Honerlaw
,
Yichi Zhang
,
David Gagnon
,
Kelly Cho
,
J. Michael Gaziano
,
Katherine P. Liao
,
Tianxi Cai
Improving EHR Chart Review Efficiency via Semantic Similarity Assessment.
AMIA
(2017)
Uri Kartoun
,
Andrew Beam
,
Jennifer Pai
,
Arnaub Chatterjee
,
Timothy P. Fitzgerald
,
Isaac S. Kohane
,
Stanley Y. Shaw
The Spectrum of Insomnia-Associated Comorbidities in an Electronic Medical Records Cohort.
AMIA
(2016)