Videos
Tutorial video by Jin Tan and Yanting Ma about our research on compressive imaging and approximate message passing. The video surveys two algorithmic works. The first reconstructs a message measured noisily with linear measurements; applications include medical imaging and radio astronomy. The second reconstructs a hyper spectral cube acquired noisily by a compressive hyper spectral system, for example the well-known CASSI system (July 2015).
Tutorial video by Yanting Ma and Junan Zhu about our research on universal denoising and approximate message passing. This algorithm solves linear inverse problems in a universal way without knowing the input statistics. (July 2015).
Tutorial video by Junan Zhu about our research on size- and level- adaptive Markov chain Monte Carlo, which is an algorithm that solves linear inverse problems in a universal way without knowing the input statistics. (July 2015).
Tutorial video by Nikhil Krishnan about our research on parallel algorithms for universal compression (July 2015).
Tutorial video by Jin Tan about our work on signal reconstruction with additive error metrics (December 2013).
Video advertising a conference presentation at the ITA Workshop; February 2013.
An MCMC Approach to Lossy Compression of Analog Sources (seminar talk): North Carolina State University, September 2010.
Compressed Sensing meets Information Theory (seminar talk): Google Research, Mountain View, CA, October 2009 (Slides).
Compressed Sensing (seminar talk): Computer Systems Colloquium, Stanford University, Stanford, CA, October 18, 2006 (Slides).
Recent Results in Non-Asymptotic Shannon Theory (seminar talk): CAM/EE Seminar Series on Network Communications and Information Processing, University of Notre Dame, Notre Dame, IN, February 4, 2005 (Video, Slides).