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Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
A deep kernel GP for regression on medical image data.
Zhiliang Wu,, Yinchong Yang, Jindong Gu, Volker Tresp
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
A deep kernel GP for survival time prediction.
Zhiliang Wu,, Yinchong Yang, Peter A. Fasching, Volker Tresp
Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems
An end-to-end probabilistic tensor decomposition model joining sparse GP and representation learning.
Yinchong Yang, Florian Büttner
Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems
Categorical EHR Imputation with Generative Adversarial Nets
Applying GAN to impute categorical EHR.
Yinchong Yang, Zhiliang Wu,, Peter A. Fasching, Volker Tresp
Explaining Therapy Predictions with Layer-wise Relevance Propagation in Neural Networks
Explaining RNN with LRP algorithm.
Yinchong Yang, Marius Wunderle, Peter A. Fasching, Volker Tresp
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Model
Tensor-Train RNN and its applications on EHR data.
Yinchong Yang, Peter A. Fasching, Volker Tresp
Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder
Hierarchical decision modeling with RNN representation learning.
Yinchong Yang, Peter A. Fasching, Volker Tresp
Tensor-Train Recurrent Neural Networks for Video Classification
Tensor-Train RNN and its applications on video classification tasks.
Yinchong Yang, Denis Krompass, Volker Tresp
Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling
A solution to cold-start problem in collaborative filtering.
Yinchong Yang, Cristobal Esteban, Volker Tresp