2015 – 2016 Information Processing Seminar Series
…………speaker…………… | ……..date……… | ………………………….title………………………….. | ||
---|---|---|---|---|
Young-Han Kim UCSD |
Tue, October 6 11:00 AM BC 410 |
Point-to-point codes for interference channels: A journey toward high performance at low complexity (abstract) | ||
Stefan Moser ETH Zürich |
Mon, Feb 8 2:00 PM INR 113 |
Performance Analysis of Fano Coding (abstract) | ||
Ayfer Ozgur Stanford |
Fri, Mar 4 2:15 PM BC 02 |
Improving on the Cut-Set Bound via Geometric Analysis of Typical Sets (abstract) | ||
Tara Javidi UCSD |
Tue, March 29 2:15 PM INR 113 |
Information Acquisition, Controlled Sensing, and Sequential Refinement of Belief (abstract) | ||
Joseph Renes ETHZ |
Tue, April 19 2:15 PM INM 203 |
From Heisenberg to Shannon: Dual channels via the uncertainty principle, and a route to capacity (abstract) | ||
Markus Stinner TUM |
Wed, April 20 2:15 PM INM 201 |
Finite-Length Scaling Based on Belief Propagation for Spatially Coupled LDPC Codes (abstract) | ||
Natasha Devroye UIC |
Tue, May 17 4:15 PM BC 129 |
Discrete Inputs in Interference Channels, and the Zero-error Primitive Relay Channel (abstract) | ||
Sergey Loyka Ottawa |
Tue, May 24 2:15 PM INR 113 |
On the Capacity of General Compound Channels (abstract) | ||
Gerad Ben Arous NYU |
Wed, June 8 2:15 PM INM 200 |
Complexity of Random Functions of Many Variables: from Statistical Physics to Deep Learning | ||
Olgica Milenkovic UIUC |
Wed, June 22 2:15 PM INR 113 |
Motif Community Detection via Correlation Clustering and Boolean Intersection Models (abstract) | ||
Amin Coja-Oghlan U Frankfurt |
Mon, June 27 2:00 PM INR 113 |
Limits of Discrete Probability Distributions (abstract) | ||
Aylin Yener Penn State U |
Wed, July 6 4:15 PM BC 410 |
Energy Harvesting Wireless Networks: A New Frontier for Communication and Information Theory (abstract) | ||
Shlomo Shamai Technion |
Thu, Aug 4 2:15 PM INR 113 |
Layered Secrecy on Broadcast Networks (abstract) | ||
Abdellatif Zaidi Huawei |
Fri, Aug 5 2:15 PM INR 113 |
Rate Distortion Regions of Instances of Heegard Berger Problem with Successive Refinement and Scalable Coding (abstract) | ||