Publication

Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting

Related publications (34)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting

Graph Chatbot

Chat with Graph Search

Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Fast Adversarial Training With Adaptive Step Size

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Robust Training and Verification of Deep Neural Networks

Deep Learning Generalization with Limited and Noisy Labels

Are socially-aware trajectory prediction models really socially-aware?

Conditional Synthetic Financial Time Series with Generative Adversarial Networks

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

SafeAMC: Adversarial training for robust modulation classification models