Search Results for author:
Found 5 papers, 3 papers with code
Statistical Test for Generated Hypotheses by Diffusion Models
In this study, we consider a medical diagnostic task using generated images by diffusion models, and propose a statistical test to quantify its reliability.
Statistical Test for Anomaly Detections by Variational Auto-Encoders
In this study, we consider the reliability assessment of anomaly detection (AD) using Variational Autoencoder (VAE).
Statistical Test for Attention Map in Vision Transformer
In this study, we propose a statistical test for ViT's attentions, enabling us to use the attentions as reliable quantitative evidence indicators for ViT's decision-making with a rigorously controlled error rate.
Selective Inference for Changepoint detection by Recurrent Neural Network
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).
Bounded P-values in Parametric Programming-based Selective Inference
This additional conditions often causes the loss of power, and this issue is referred to as over-conditioning in [Fithian et al., 2014].
