Recent & Upcoming Talks

The t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm is a ubiquitously employed dimensionality reduction (DR) method. Its …
Jan 24, 2020 ESANN20

Deep neural networks are vulnerable to adversarial examples, i.e., carefully-perturbed inputs aimed to mislead classification. This …
Apr 24, 2019 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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a.k.a. “Why should you bother to have an internship during your Ph.D.?”
Feb 1, 2019 {PhdEvent}
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The paper presents a novel, principled approach to train recurrent neural networks from the Reservoir Computing family that are robust …
May 14, 2017 International Joint Conference on Neural Networks, IJCNN 2017
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Recent Publications

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Deep neural networks are vulnerable to adversarial examples, i.e., carefully-perturbed inputs aimed to mislead classification. This …
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This brief discusses the simple idea that dropout regularization can be used to efficiently induce resiliency to missing inputs at …
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The paper presents a novel, principled approach to train recurrent neural networks from the Reservoir Computing family that are robust …
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