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Past Seminars

Date: Oct 18, 2016

SpeakersSpeaker: Russell Stewart

Title: Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

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Date: Sept 21, 2016

SpeakersSpeaker: T.J. Lane

Title: Can machine learning teach us physics? Using Hidden Markov Models to understand molecular dynamics.

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Date: Aug 31, 2016

SpeakersSpeaker: Apurva Mehta

Title: On-the-fly unsupervised discovery of functional materials

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Abstract:
We worked on data from a two color experiment (each pulse has two bunches at different energy levels). The sample reacts differently depending on which of the colors lased and the energy in the lasing. We used deep learning to train a convolutional neural network to predict these lasing and energy levels from the xtcav diagnostic images. We then sorted down the data taken of the sample based on these values and identified differences in how the sample reacted. Scientific results from the experiment will start with an analysis of these differences. We used guided back propagation to see what the neural network identified as important and were able to obtain images that isolate the lasing portions of the xtcav images.slides:

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