Sparse Convolutional Recurrent Learning for Efficient Event-base Neuromorphic Object Detection – Guangzhi Tang (Maastricht University) Sparse Convolutional Recurrent Learning for Efficient Event-base Neuromorphic Object Detection March 23, 2025• 130views 2025 NICE,Learning Approaches event-NICE,speaker-Tang-Guangzhi,year-2025 You may also like Simulating Dynap-SE1 | Yigit Demirag | 2021 March 19, 2021• 61views 2021 NICE,Software & Tools event-NICE,speaker-Demirag-Yigit,year-2021 50:34 Tom Griffiths – Surprise, Curiosity, and Reward:... March 25, 2023• 60views Learning Approaches org-Princeton,speaker-Griffiths-Tom,year-2023 00:20:22 Assembly-based computations through contextual dendritic... November 5, 2025• 60views 2025 SNUFA,Featured_old,Learning Approaches event-SNUFA,speaker-Miehl-Christoph,year-2025 Online training of spiking recurrent neural networks... November 10, 2022• 59views 2022 SNUFA Seminars,Emerging Devices,Learning Approaches event-SNUFA,speaker-Demirag-Yigit,year-2022 00:12:04 GPU-RANC: A CUDA Accelerated Simulation Framework for... April 23, 2024• 59views 2024 NICE,Software & Tools event-NICE,speaker-Mack-Joshua,year-2024 «1…31323334353637…51»Page 34 of 51
