|Stochastic Systems Group|
All seminars are held on Wednesdays from 4:00-5:00 in the LIDS Seminar Room in the Dreyfoos Tower of the Stata Center, 32-D677, unless otherwise noted. Click here for a map from the Dreyfoos elevators to the seminar room.
|February 6||Organizational Meeting [internal]|
|February 13||Justin Dauwels, SSG. Machine Learning Techniques for Quantifying Neural Synchrony: Application to the Early Diagnosis of Alzheimer's Disease from EEG.|
|February 20||Nir Ailon, Google Research. Dimension Reduction Using Rademacher Series on Dual Error Correcting Codes.|
|February 27||Polina Golland, CSAIL, MIT. Functional Hierarchy: Representation and Modeling of Spatial Patterns of Activation in fMRI.|
|March 5||Shashibhushan P. Borade, LIDS, MIT. When All Information is Not Created Equal.|
|March 12||Lang Tong, Cornell University. Distributed Flow Detection via Timing Analysis.|
|March 19||Edward Farhi, Department of Physics, MIT. A Quantum Computer Can Determine Who Wins a Game Faster Than a Classical Computer.|
|March 26||No Meeting [Spring Break]|
|April 2||No Meeting [ICASSP]|
|April 9||Jonathan Yedidia, Mitsubishi Electric Research Laboratory. Factor Graph and Optimization Method for a New Phase-Unwrapping Algorithm.|
|Geoffrey Hinton, Canadian Institute for Advanced Research and University of Toronto. An Efficient Way to Learn Deep Generative Models.
NOTE: Held in Room 32-G449 (Patil/Kiva).
|April 23||John Tsitsiklis, LIDS, MIT. Vignettes in Distributed Data Fusion.|
|April 30||Zhexu (Michael) Chen, SSG. Efficient Multi-Target Tracking Using Graphical Models and
David Sontag, CSAIL, MIT. Tightening Convex Relaxations for Probabilistic Inference.
|May 7||Michael B. Wakin, University of Michigan. The Geometry of Compressive Sensing.|
|May 14||Group Party [internal]|
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