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08/11/2022
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Uncertainty is an essential consideration for time series forecasting ta...
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04/29/2021
Learning Robust Variational Information Bottleneck with Reference
We propose a new approach to train a variational information bottleneck ...
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01/26/2021
Variational Information Bottleneck Model for Accurate Indoor Position Recognition
Recognizing user location with WiFi fingerprints is a popular approach f...
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07/01/2020
Multi-Task Variational Information Bottleneck
In this paper we propose a multi-task deep learning model called multi-t...
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11/22/2019
Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition
Predicting smartphone users location with WiFi fingerprints has been a p...
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11/21/2019
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data
Discovering human mobility patterns with geo-location data collected fro...
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11/21/2019