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Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI., , , and . CoRR, (2023)PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI., , , , , and . CoRR, (2019)Plane-Based Local Behaviors for Multi-Agent 3D Simulations with Position-Based Dynamics., , and . AIVR, page 214-217. IEEE, (2020)Interactive Design of Gallery Walls via Mixed Reality., , , , and . AIVR, page 17-26. IEEE, (2020)LayoutEnhancer: Generating Good Indoor Layouts from Imperfect Data., , , and . SIGGRAPH Asia, page 27:1-27:8. ACM, (2022)Learning to Simulate Crowds with Crowds., , and . SIGGRAPH Posters, page 6:1-6:2. ACM, (2023)Style Similarity as Feedback for Product Design., , , and . CoRR, (2021)Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI., , , , , and . ICASSP, page 8653-8657. IEEE, (2020)Towards learned optimal q-space sampling in diffusion MRI., , , , and . CoRR, (2020)3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI., , , , , and . MLMIR@MICCAI, volume 12450 of Lecture Notes in Computer Science, page 3-16. Springer, (2020)