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07/28/2023
Group integrative dynamic factor models for inter- and intra-subject brain networks
This work introduces a novel framework for dynamic factor model-based da...
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07/19/2023
Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series
This work considers estimation and forecasting in a multivariate count t...
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03/06/2023
Testing the Channels of Convolutional Neural Networks
Neural networks have complex structures, and thus it is hard to understa...
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08/09/2022
Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences
Early detection of cancers has been much explored due to its paramount i...
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08/09/2021
Gemini2: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics
Complex animated transitions may be easier to understand when divided in...
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05/24/2021
GMAC: A Distributional Perspective on Actor-Critic Framework
In this paper, we devise a distributional framework on actor-critic as a...
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05/07/2021
DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI
A carefully engineered radiofrequency (RF) pulse plays a key role in a n...
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10/22/2020
Learning Loss for Test-Time Augmentation
Data augmentation has been actively studied for robust neural networks. ...
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09/03/2020
Gemini: A Grammar and Recommender System for AnimatedTransitions in Statistical Graphics
Animated transitions help viewers follow changes between related visuali...
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07/09/2020
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Intensive Longitudinal Data (ILD) is an increasingly common data type in...
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04/23/2019
