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05/27/2023
Probing reaction channels via reinforcement learning
We propose a reinforcement learning based method to identify important c...
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10/27/2022
Layer-wise Shared Attention Network on Dynamical System Perspective
Attention networks have successfully boosted accuracy in various vision ...
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08/07/2022
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec
Ensemble-based large-scale simulation of dynamical systems is essential ...
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06/21/2022
Finite Expression Method for Solving High-Dimensional Partial Differential Equations
Designing efficient and accurate numerical solvers for high-dimensional ...
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09/09/2021
Stationary Density Estimation of Itô Diffusions Using Deep Learning
In this paper, we consider the density estimation problem associated wit...
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06/12/2021
Solving PDEs on Unknown Manifolds with Machine Learning
This paper proposes a mesh-free computational framework and machine lear...
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01/13/2021
Reproducing Activation Function for Deep Learning
In this paper, we propose the reproducing activation function to improve...
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01/01/2021
Quantifying spatial homogeneity of urban road networks via graph neural networks
The spatial homogeneity of an urban road network (URN) measures whether ...
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11/28/2020
Efficient Attention Network: Accelerate Attention by Searching Where to Plug
Recently, many plug-and-play self-attention modules are proposed to enha...
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10/13/2019
Machine Learning for Prediction with Missing Dynamics
This article presents a general framework for recovering missing dynamic...
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08/12/2019
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
Batch Normalization (BN) (Ioffe and Szegedy 2015) normalizes the feature...
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05/25/2019
DIANet: Dense-and-Implicit Attention Network
Attention-based deep neural networks (DNNs) that emphasize the informati...
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11/14/2018