Recurrent Neural Networks With Limited Numerical Precision. - Joachim Ott; Zhouhan Lin; Ying Zhang 033; Shih-Chii Liu; Yoshua Bengio (CoRR, 2016)

Biologically-Inspired Continual Learning of Human Motion Sequences. - Joachim Ott; Shih-Chii Liu (ICASSP, 2023)

Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing. - Zuowen Wang; Longbiao Cheng; Joachim Ott; Pehuen Moure; Shih-Chii Liu (UniReps, 2023)

Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning. - Pehuen Moure; Longbiao Cheng; Joachim Ott; Zuowen Wang; Shih-Chii Liu (CVPR, 2024)

Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. - Joachim Ott; Zuowen Wang; Shih-Chii Liu (NICE, 2024)

Recursive Abstractive Processing for Retrieval in Dynamic Datasets. - Charbel Chucri; Rami Azouz; Joachim Ott (CoRR, 2024)

Bio-Inspired Continual Learning and Transfer Learning on Temporal Sequences. - Joachim Ott (2024)