49 citations · 85 across the 5 of their papers we have counts for
5 papers
Recursive Abstractive Processing for Retrieval in Dynamic Datasets
Charbel Chucri, Rami Azouz, Joachim Ott
Recent retrieval-augmented models enhance basic methods by building a hierarchical structure over retrieved text chunks through recursive embedding, clustering, and summarization.…
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input
Joachim Ott, Zuowen Wang, Shih-Chii Liu
Event cameras are advantageous for tasks that require vision sensors with low-latency and sparse output responses. However, the development of deep network algorithms using event c…
Biologically-Inspired Continual Learning of Human Motion Sequences
Joachim Ott, Shih-Chii Liu
This work proposes a model for continual learning on tasks involving temporal sequences, specifically, human motions. It improves on a recently proposed brain-inspired replay model…
Recurrent Neural Networks With Limited Numerical Precision
Joachim Ott, Zhouhan Lin, Ying Zhang +2
Recurrent Neural Networks (RNNs) produce state-of-art performance on many machine learning tasks but their demand on resources in terms of memory and computational power are often…
Recurrent Neural Networks With Limited Numerical Precision
Joachim Ott, Zhouhan Lin, Ying Zhang +2
Recurrent Neural Networks (RNNs) produce state-of-art performance on many machine learning tasks but their demand on resources in terms of memory and computational power are often…