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Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting

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Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting

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Deep Learning Methods for Socially-Aware Human Trajectory Forecasting

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Multivariate time series forecasting for freeway networks

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them

Conditional LSTM-GAN for Melody Generation from Lyrics

Efficient Depth-based Deep Learning Methods for Multi-Party Pose Estimation

Optimizing Latent Space Directions For GAN-based Local Image Editing

Interpretable Social Anchors for Human Trajectory Forecasting in Crowds

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