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09/11/2023
Feature-based Transferable Disruption Prediction for future tokamaks using domain adaptation
The high acquisition cost and the significant demand for disruptive disc...
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03/27/2023
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection
The full understanding of plasma disruption in tokamaks is currently lac...
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08/28/2022
IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction
Disruption prediction has made rapid progress in recent years, especiall...
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09/24/2021
k-Center Clustering with Outliers in the Sliding-Window Model
The k-center problem for a point set P asks for a collection of k congru...
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02/27/2021
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
Semantic segmentation is an extensively studied task in computer vision,...
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05/02/2020
Social Biases in NLP Models as Barriers for Persons with Disabilities
Building equitable and inclusive NLP technologies demands consideration ...
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10/25/2019
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
We present a method for training a neural network to perform image denoi...
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07/08/2016
