Speaker: Charles
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an …
Speaker: Islem Rekik
Research on generalization bounds for deep networks seeks to give ways to predict test error using just the …
Speaker: Charles and Andrea
We propose a technique for producing "visual explanations" for decisions from a large class of …
Speaker: Charles Delahunt
Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that is widely used …
Speaker: Islem and Charles
An open question in the Deep Learning community is why neural networks trained with Gradient Descent …
We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in …
Advancements in 7T MR imaging bring higher spatial resolution and clearer tissue contrast, in comparison to the …
