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DroNet: Learning to Fly by Driving

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DroNet: Learning to Fly by Driving

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Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Transformer Models for Vision

Deep Learning Generalization with Limited and Noisy Labels

Improving the Training of Compact Neural Networks for Visual Recognition

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset

Loss landscape and symmetries in Neural Networks

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing

Disentangling feature and lazy training in deep neural networks