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Found 3 papers, 1 papers with code
Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice
With the increasing availability of diverse datasets, ranging from small-scale experimental data points to large and complex data repositories and powerful data analysis tools, it is increasingly important that physics educators equip their students with the skills to work with data effectively.
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge
Streaming Linear Discriminant Analysis (LDA) while proven in Class-incremental Learning deployments at the edge with limited classes (upto 1000), has not been proven for deployment in extreme classification scenarios.
Fourier Spectrum Discrepancies in Deep Network Generated Images
Advancements in deep generative models such as generative adversarial networks and variational autoencoders have resulted in the ability to generate realistic images that are visually indistinguishable from real images, which raises concerns about their potential malicious usage.
