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cs.LG2024
Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems
Hunter S. Heidenreich, Pantelis R. Vlachas, Petros Koumoutsakos
Machine learning architectures, including transformers and recurrent neural networks (RNNs) have revolutionized forecasting in applications ranging from text processing to extreme…
cs.CL2024
Large Language Models for Page Stream Segmentation
Hunter Heidenreich, Ratish Dalvi, Rohith Mukku +2
Page Stream Segmentation (PSS) is an essential prerequisite for automated document processing at scale. However, research progress has been limited by the absence of realistic publ…