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Unsupervised regenerative learning of hierarchical features in spiking deep networks for object recognition. In 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp.
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Conditional deep learning for energy-efficient and enhanced pattern recognition. Priyadarshini Panda, Abhronil Sengupta, and Kaushik Roy.Training deep spiking convolutional neural networks with stdp-based unsupervised pre-training followed by supervised finetuning. Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, and Kaushik Roy.arXiv preprint arXiv:1802.05800, 2018, Accepted in Neural Networks (Elsevier), 2019. Tree-cnn: A hierarchical deep convolutional neural network for incremental learning. Deboleena Roy, Priyadarshini Panda, and Kaushik Roy.Magnetic tunnel junction mimics stochastic cortical spiking neurons. Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe, Yusung Kim, and Kaushik Roy.Discretization based Solutions for Secure Machine Learning against Adversarial Attacks.
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