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M. Todd Young
ORCID
Publication Activity (10 Years)
Years Active: 2018-2022
Publications (10 Years): 9
Top Topics
Deep Learning
Tabula Rasa
Natural Language
Bayesian Inference
Top Venues
CoRR
IEEE BigData
IEEE J. Biomed. Health Informatics
SBAC-PAD
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Publications
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Joshua Romero
,
Junqi Yin
,
Nouamane Laanait
,
Bing Xie
,
M. Todd Young
,
Sean Treichler
,
Vitalii Starchenko
,
Albina Y. Borisevich
,
Alex Sergeev
,
Michael A. Matheson
Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks.
NSDI
(2022)
Serena H. Chen
,
M. Todd Young
,
John Gounley
,
Christopher Stanley
,
Debsindhu Bhowmik
How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets.
IEEE BigData
(2021)
Shang Gao
,
Mohammed M. Alawad
,
M. Todd Young
,
John Gounley
,
Noah Schaefferkoetter
,
Hong-Jun Yoon
,
Xiao-Cheng Wu
,
Eric B. Durbin
,
Jennifer A. Doherty
,
Antoinette Stroup
,
Linda Coyle
,
Georgia D. Tourassi
Limitations of Transformers on Clinical Text Classification.
IEEE J. Biomed. Health Informatics
25 (9) (2021)
Drew Schmidt
,
Bronson Messer
,
M. Todd Young
,
Michael A. Matheson
Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation.
CoRR
(2020)
M. Todd Young
,
Jacob D. Hinkle
,
Ramakrishnan Kannan
,
Arvind Ramanathan
Distributed Bayesian optimization of deep reinforcement learning algorithms.
J. Parallel Distributed Comput.
139 (2020)
Theodore Papamarkou
,
Jacob D. Hinkle
,
M. Todd Young
,
David E. Womble
Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks.
CoRR
(2019)
Nouamane Laanait
,
Joshua Romero
,
Junqi Yin
,
M. Todd Young
,
Sean Treichler
,
Vitalii Starchenko
,
Albina Y. Borisevich
,
Alex Sergeev
,
Michael A. Matheson
Exascale Deep Learning for Scientific Inverse Problems.
CoRR
(2019)
Hong-Jun Yoon
,
John Gounley
,
M. Todd Young
,
Georgia D. Tourassi
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts.
IEEE BigData
(2019)
M. Todd Young
,
Jacob D. Hinkle
,
Arvind Ramanathan
,
Ramakrishnan Kannan
HyperSpace: Distributed Bayesian Hyperparameter Optimization.
SBAC-PAD
(2018)