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06/21/2023
Efficient ResNets: Residual Network Design
ResNets (or Residual Networks) are one of the most commonly used models ...
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06/21/2023
Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques
Understanding human mobility patterns is important in applications as di...
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06/19/2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Before taking actions in an environment with more than one intelligent a...
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05/01/2023
Predicting blood pressure under circumstances of missing data: An analysis of missing data patterns and imputation methods using NHANES
The World Health Organization defines cardio-vascular disease (CVD) as "...
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01/30/2023
Planning Multiple Epidemic Interventions with Reinforcement Learning
Combating an epidemic entails finding a plan that describes when and how...
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10/14/2022
Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms
Rheumatoid arthritis (RA) is an autoimmune condition caused when patient...
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07/21/2022
Quantifying Overheads in Charm++ and HPX using Task Bench
Asynchronous Many-Task (AMT) runtime systems take advantage of multi-cor...
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01/18/2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Cooperative multi-agent reinforcement learning (MARL) has achieved signi...
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10/23/2020
Performance Evaluation of ParalleX Execution model on Arm-based Platforms
The HPC community shows a keen interest in creating diversity in the CPU...
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10/19/2020
Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models
Exceptions and errors occurring within mission critical applications due...
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10/08/2020
Deploying a Task-based Runtime System on Raspberry Pi Clusters
Arm technology is becoming increasingly important in HPC. Recently, Fuga...
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04/15/2020
