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Found 6 papers, 1 papers with code
Adaptive operator learning for infinite-dimensional Bayesian inverse problems
To this end, we develop an adaptive operator learning framework that can reduce modeling error gradually by forcing the surrogate to be accurate in local areas.
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation
The second extension is to present the subset simulation algorithm as the posterior model (instead of the truncated Gaussian model) for estimating the error indicator, which can more effectively estimate the failure probability and generate new effective training points in the failure region.
Failure-informed adaptive sampling for PINNs
For instance, a fixed set of (prior chosen) training points may fail to capture the effective solution region (especially for problems with singularities).
A Variational Integrator for the Discrete Element Method
A novel implicit integration scheme for the Discrete Element Method (DEM) based on the variational integrator approach is presented.
Numerical Analysis Soft Condensed Matter Numerical Analysis
Offensive Language Detection on Video Live Streaming Chat
To make use of the similarity in offensive expressions among different social media platforms, we adopted state-of-the-art models trained on offensive expressions from Twitter for our Twitch data (i. e., transfer learning).
NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
This has affected the social life of people owing to enforcements, such as "social distancing" and "stay at home."
