
Understanding Deep Architectures with Reasoning Layer
Recently, there has been a surge of interest in combining deep learning ...
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Learning to Stop While Learning to Predict
There is a recent surge of interest in designing deep architectures base...
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RNA Secondary Structure Prediction By Learning Unrolled Algorithms
In this paper, we propose an endtoend deep learning model, called E2Ef...
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Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Markov Logic Networks (MLNs), which elegantly combine logic rules and pr...
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Review: Ordinary Differential Equations For Deep Learning
To better understand and improve the behavior of neural networks, a rece...
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Can Graph Neural Networks Help Logic Reasoning?
Effectively combining logic reasoning and probabilistic inference has be...
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GLAD: Learning Sparse Graph Recovery
Recovering sparse conditional independence graphs from data is a fundame...
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Meta Particle Flow for Sequential Bayesian Inference
We present a particle flow realization of Bayes' rule, where an ODEbase...
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Parametric FEM for Shape Optimization applied to Golgi Stack
The thesis is about an application of the shape optimization to the morp...
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Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
There are great interests as well as many challenges in applying reinfor...
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Neural ModelBased Reinforcement Learning for Recommendation
There are great interests as well as many challenges in applying reinfor...
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Xinshi Chen
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