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Live Q&A - Signal Processing and Machine Learning: Connections and Applications

Kirty Vedula - Watch Now - Duration: 26:04

Live Q&A - Signal Processing and Machine Learning: Connections and Applications
Kirty Vedula
Live Q&A with Kirty Vedula for the talk titled Signal Processing and Machine Learning: Connections and Applications
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No comments or questions yet. Will you be the one who will break the ice?

16:32:54	 From  Michael Kirkhart : LInk to paper titled "JOINT CODING AND MODULATION IN THE ULTRA-SHORT BLOCKLENGTH REGIME
FOR BERNOULLI-GAUSSIAN IMPULSIVE NOISE CHANNELS USING AUTOENCODERS" : https://spinlab.wpi.edu/pubs/Vedula_ICASSP_2020.pdf
16:34:43	 From  JohnP : Thanks for all the links Michael.
16:45:25	 From  JohnP : It seems to me that ML could make unsupervised systems more robust by (knowing how to) adapting to changed circumstances (eg. "climate change"), rather than just seeking higher performance (cost, speed, etc). Can you comment ?
16:48:08	 From  JohnP : The sectored cell could learn to adapt its precious resources against the current traffic patterns.
16:52:34	 From  Timothy Young : What if the noise corrupts the weights?
16:57:15	 From  Timothy Young : Very interesting area. Thanks.
16:57:40	 From  Michael Kirkhart : Thank you for the talk.  I brought back memories of some of my grad school coursework.
16:58:55	 From  Timothy Young : Great!
16:59:15	 From  Timothy Young : Thank you for putting it on!
16:59:25	 From  Mike Mitchell : thank you!!!

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