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Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

S. Liu, B. Kailkhura, J. Zhang, A. Hiszpanski, E. Robertson, D. Loveland, and T. Han. CoRR, (2020)

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Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses.T. Hogan, and B. Kailkhura. CoRR, (2018)MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.R. Anirudh, J. Thiagarajan, B. Kailkhura, and T. Bremer. CoRR, (2018)Distributed Detection in Tree Networks: Byzantines and Mitigation Techniques.B. Kailkhura, S. Brahma, B. Dulek, Y. Han, and P. Varshney. CoRR, (2014)TreeView: Peeking into Deep Neural Networks Via Feature-Space PartitioningJ. Thiagarajan, B. Kailkhura, P. Sattigeri, and K. Ramamurthy. (2016)cite arxiv:1611.07429Comment: Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems.Data Falsification Attacks on Consensus-Based Detection Systems.B. Kailkhura, S. Brahma, and P. Varshney. IEEE Trans. Signal and Information Processing over Networks, 3 (1): 145-158 (2017)Automatic Perturbation Analysis on General Computational Graphs.K. Xu, Z. Shi, H. Zhang, M. Huang, K. Chang, B. Kailkhura, X. Lin, and C. Hsieh. CoRR, (2020)MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking.R. Anirudh, J. Thiagarajan, B. Kailkhura, and P. Bremer. Int. J. Comput. Vis., 128 (10): 2459-2477 (2020)Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions.E. Antoniuk, P. Li, B. Kailkhura, and A. Hiszpanski. CoRR, (2022)Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines.Q. Li, B. Kailkhura, R. Goldhahn, P. Ray, and P. Varshney. CoRR, (2017)Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.A. Mallick, C. Dwivedi, B. Kailkhura, G. Joshi, and T. Han. CoRR, (2020)

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Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

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Disambiguation of "Kailkhura, Bhavya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

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Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.