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• 97views 2025 NICE,Learning Approaches event-NICE,speaker-Tang-Guangzhi,year-2025 You may also like A framework to enable top-down co-design of neuromorphic... April 1, 2022• 103views 2022 NICE,Circuit & Chip Design,Software & Tools event-NICE,speaker-Schuman-Catherine,year-2022 Neuromorphic Compute-in-Memory Arrays for Distributed... July 2, 2025• 100views 2025 Telluride,Platforms & Architectures event-telluride,speaker-Cauwenberghs-Gert,year-2025 00:06:47 Backpropagation through space, time, and the brain... March 23, 2025• 98views 2025 NICE,Learning Approaches event-NICE,speaker-Ellenberger-Benjamin,year-2025 Materials Matter: How biologically inspired alternatives... April 1, 2022• 97views 2022 NICE,Learning Approaches event-NICE,year-2022 00:22:08 State-Space Model Inspired Multiple-Input... March 23, 2025• 97views 2025 NICE,Neuromorphic Algorithms event-NICE,speaker-Karilanova-Sanja,year-2025 «1…567891011…42»Page 8 of 42
