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When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks.

G. Datta, Z. Liu, J. Diffenderfer, B. Kailkhura, and P. Beerel. CoRR, (2023)

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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.Distributed Detection in Tree Networks: Byzantines and Mitigation Techniques.B. Kailkhura, S. Brahma, B. Dulek, Y. Han, and P. Varshney. CoRR, (2014)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)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)MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.Q. Li, B. Kailkhura, R. Anirudh, J. Zhang, Y. Zhou, Y. Liang, T. Han, and P. Varshney. SIAM J. Math. Data Sci., 3 (4): 1197-1222 (2021)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)Robusta: Robust AutoML for Feature Selection via Reinforcement Learning.X. Wang, B. Li, Y. Zhang, B. Kailkhura, and K. Nahrstedt. CoRR, (2021)

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Disambiguation of "Kailkhura, Bhavya"

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When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks.

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Disambiguation of "Kailkhura, Bhavya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks.

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