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Bhavya Kailkhura

Showing results (1-10 of 8) with videos related to

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Frontiers in Artificial Intelligence|June 28, 2021
Preventing Failures by Dataset Shift Detection in Safety-Critical Graph ApplicationsHoseung Song, Jayaraman J Thiagarajan, Bhavya Kailkhura
ACS Omega|May 31, 2021
Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery WorkflowsJize Zhang, Bhavya Kailkhura, T Yong-Jin Han
Frontiers in Big Data|August 23, 2021
Editorial: Safe and Trustworthy Machine LearningBhavya Kailkhura, Pin-Yu Chen, Xue Lin, et al.
Journal of Chemical Information and Modeling|October 31, 2022
Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property PredictionsEvan R Antoniuk, Peggy Li, Bhavya Kailkhura, et al.
Journal of Chemical Information and Modeling|November 27, 2020
Automated Identification of Molecular Crystals' Packing MotifsDonald Loveland, Bhavya Kailkhura, Piyush Karande, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 20, 2020
Coverage-Based Designs Improve Sample Mining and Hyperparameter OptimizationGowtham Muniraju, Bhavya Kailkhura, Jayaraman J Thiagarajan, et al.
ACS Omega|January 31, 2022
Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image SynthesisShusen Liu, Bhavya Kailkhura, Jize Zhang, et al.
Journal of Chemical Information and Modeling|April 15, 2020
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing KnowledgeAnna M Hiszpanski, Brian Gallagher, Karthik Chellappan, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Artificial Intelligence|June 28, 2021
Preventing Failures by Dataset Shift Detection in Safety-Critical Graph ApplicationsHoseung Song, Jayaraman J Thiagarajan, Bhavya Kailkhura
ACS Omega|May 31, 2021
Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery WorkflowsJize Zhang, Bhavya Kailkhura, T Yong-Jin Han
Frontiers in Big Data|August 23, 2021
Editorial: Safe and Trustworthy Machine LearningBhavya Kailkhura, Pin-Yu Chen, Xue Lin, et al.
Journal of Chemical Information and Modeling|October 31, 2022
Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property PredictionsEvan R Antoniuk, Peggy Li, Bhavya Kailkhura, et al.
Journal of Chemical Information and Modeling|November 27, 2020
Automated Identification of Molecular Crystals' Packing MotifsDonald Loveland, Bhavya Kailkhura, Piyush Karande, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 20, 2020
Coverage-Based Designs Improve Sample Mining and Hyperparameter OptimizationGowtham Muniraju, Bhavya Kailkhura, Jayaraman J Thiagarajan, et al.
ACS Omega|January 31, 2022
Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image SynthesisShusen Liu, Bhavya Kailkhura, Jize Zhang, et al.
Journal of Chemical Information and Modeling|April 15, 2020
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing KnowledgeAnna M Hiszpanski, Brian Gallagher, Karthik Chellappan, et al.
Pageof 1