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Rufin VanRullen

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Registered: 2019-03-08

Posts: 18

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Oct 1, 2019, 10:00 - ENAC amphi Breguet - N. Bouaynaya (Rowan Univ.)

Title: Deep Learning: Promise and Challenges - A Bayesian Perspective
By:    Dr. Nidhal Carla Bouaynaya, Rowan University (USA)

Abstract: Within the field of machine learning, deep learning approaches have resulted in state-of-the-art accuracy in visual object detection, speech recognition, and many other domains including transportation. Deep learning techniques hold the promise of emerging technologies, such as autonomous unmanned vehicles, smart cities infrastructure, and cybersecurity. However, deep learning models are deterministic, and as a result are unable to understand or assess their uncertainty, a critical part of any predictive system’s output. This can have disastrous consequences, especially when the output of such models is fed into higher-level decision making procedures, such as autonomous drones and vehicles. This talk is divided into two parts. First, we provide intuitive insights into deep learning models and show their applications in flight safety and operational efficiency. We then introduce Bayesian deep learning to assess the model’s confidence in its prediction and show pioneering results on robustness to noise and artifacts in the data as well as resilience to adversarial attacks.

Location: ENAC amphi Breguet **Valid identification required for entry**