Post Hoc Explanations for RNNs using State Transition Representations for Time Series Data

Gargi Gupta. Post Hoc Explanations for RNNs using State Transition Representations for Time Series Data. In Luca Longo, editor, Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023. Volume 3554 of CEUR Workshop Proceedings, pages 249-255, CEUR-WS.org, 2023. [doi]

Abstract

Abstract is missing.