2 papers
cs.LG2025
si4onnx: A Python package for Selective Inference in Deep Learning Models
Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa +2
In this paper, we introduce si4onnx, a package for performing selective inference on deep learning models. Techniques such as CAM in XAI and reconstruction-based anomaly detection…
stat.ML2023
Selective Inference for Changepoint detection by Recurrent Neural Network
Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy +1
In this study, we investigate the quantification of the statistical reliability of detected change points (CPs) in time series using a Recurrent Neural Network (RNN). Thanks to its…