M. Todd Young

According to our database, M. Todd Young authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks.

Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021

Limitations of Transformers on Clinical Text Classification.

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

IEEE J. Biomed. Health Informatics, 2021

How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets.

Serena H. Chen, M. Todd Young, John Gounley, Christopher B. Stanley, Debsindhu Bhowmik

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Distributed Bayesian optimization of deep reinforcement learning algorithms.

M. Todd Young, Jacob D. Hinkle, Ramakrishnan Kannan, Arvind Ramanathan

J. Parallel Distributed Comput., 2020

Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation.

Drew Schmidt, Bronson Messer, M. Todd Young, Michael A. Matheson

CoRR, 2020

2019

Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks.

Theodore Papamarkou, Jacob D. Hinkle, M. Todd Young, David E. Womble

CoRR, 2019

Exascale Deep Learning for Scientific Inverse Problems.

Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson

CoRR, 2019

Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts.

Hong-Jun Yoon, John Gounley, M. Todd Young, Georgia D. Tourassi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

HyperSpace: Distributed Bayesian Hyperparameter Optimization.

M. Todd Young, Jacob D. Hinkle, Arvind Ramanathan, Ramakrishnan Kannan

Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018