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Learning with weak supervision using deep generative networks. (Apprentissage en supervision faible par l'emploi de réseaux génératifs profonds).. Sorbonne University, France, (2020)Raising context awareness in motion forecasting., , , , and . CoRR, (2021)PointBeV: A Sparse Approach to BeV Predictions., , , , , and . CoRR, (2023)Multi-View Data Generation Without View Supervision., , and . CoRR, (2017)Multi-View Data Generation Without View Supervision., , and . ICLR (Poster), OpenReview.net, (2018)Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving., , , , , and . CoRR, (2023)Reliability in Semantic Segmentation: Can We Use Synthetic Data?, , , , and . CoRR, (2023)STEEX: Steering Counterfactual Explanations with Semantics., , , , , and . ECCV (12), volume 13672 of Lecture Notes in Computer Science, page 387-403. Springer, (2022)OCTET: Object-aware Counterfactual Explanations., , , , , and . CVPR, page 15062-15071. IEEE, (2023)Unifying GANs and Score-Based Diffusion as Generative Particle Models., , , , , , and . CoRR, (2023)