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02/20/2022
On Optimal Early Stopping: Over-informative versus Under-informative Parametrization
Early stopping is a simple and widely used method to prevent over-traini...
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11/22/2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs
Incorporating group symmetry directly into the learning process has prov...
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05/25/2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Deep learning is gaining increasing popularity for spatiotemporal foreca...
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02/12/2021
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
We introduce DeepGLEAM, a hybrid model for COVID-19 forecasting. DeepGLE...
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08/12/2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Replica exchange Monte Carlo (reMC), also known as parallel tempering, i...
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04/28/2020
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors
In the recent application of scientific modeling, machine learning model...
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01/08/2019
Learning with Collaborative Neural Network Group by Reflection
For the present engineering of neural systems, the preparing of extensiv...
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04/10/2018
