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HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology., , , , , , , , , and . ACM Trans. Embed. Comput. Syst., 20 (5s): 66:1-66:25 (2021)Latent Field Discovery In Interacting Dynamical Systems With Neural Fields., , , and . CoRR, (2023)Investigating Binary Neural Networks for Traffic Sign Detection and Recognition., , , , , , , and . IV, page 1400-1405. IEEE, (2021)L2PF - Learning to Prune Faster., , , , , , , , and . CVIP (3), volume 1378 of Communications in Computer and Information Science, page 249-261. Springer, (2020)Accelerating and pruning CNNs for semantic segmentation on FPGA., , , , , , , , , and 1 other author(s). DAC, page 145-150. ACM, (2022)Social navigation with human empowerment driven reinforcement learning., , , and . CoRR, (2020)Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving., , , , , , and . ICRA, page 2295-2301. IEEE, (2020)Recurrent Models for Lane Change Prediction and Situation Assessment., , , , and . IEEE Trans. Intell. Transp. Syst., 23 (10): 17284-17300 (2022)Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , and 2 other author(s). CVPR Workshops, page 66-75. Computer Vision Foundation / IEEE, (2021)ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks., , , , , , and . DAC, page 1-6. IEEE, (2020)