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03/03/2022
Data-Efficient and Interpretable Tabular Anomaly Detection
Anomaly detection (AD) plays an important role in numerous applications....
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10/28/2021
Extracting Clinician's Goals by What-if Interpretable Modeling
Although reinforcement learning (RL) has tremendous success in many fiel...
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06/03/2021
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
Deployment of machine learning models in real high-risk settings (e.g. h...
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06/02/2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
Despite the success of machine learning applications in science, industr...
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06/20/2020
Measure-resend authenticated semi-quantum key distribution with single photons
Yu et al. and Li et al. have proposed the measure-resend protocols of au...
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06/11/2020
How Interpretable and Trustworthy are GAMs?
Generalized additive models (GAMs) have become a leading model class for...
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11/12/2019
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
Recent methods for training generalized additive models (GAMs) with pair...
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01/24/2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
Current clinical practice for monitoring patients' health follows either...
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12/01/2018
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL
Current clinical practice to monitor patients' health follows either reg...
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07/20/2018
Explaining Image Classifiers by Adaptive Dropout and Generative In-filling
Explanations of black-box classifiers often rely on saliency maps, which...
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12/22/2017
