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Author Information
Ashish Bora (University of Texas at Austin)
I am interested in building theory and tools to understand and apply Machine Learning. Currently, I am a second year graduate student in the Computer Science Department at University of Texas, Austin. Prior to that, I completed my undergraduate in Electrical Engineering (Hons.) with minor in Computer Science at Indian Institute of Technology Bombay.
Ajil Jalal (University of Texas at Austin)
Eric Price (UT-Austin)
Alexandros Dimakis (UT Austin)
Alex Dimakis is an Associate Professor at the Electrical and Computer Engineering department, University of Texas at Austin. He received his Ph.D. in electrical engineering and computer sciences from UC Berkeley. He received an ARO young investigator award in 2014, the NSF Career award in 2011, a Google faculty research award in 2012 and the Eli Jury dissertation award in 2008. He is the co-recipient of several best paper awards including the joint Information Theory and Communications Society Best Paper Award in 2012. His research interests include information theory, coding theory and machine learning.
Related Events (a corresponding poster, oral, or spotlight)
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2017 Talk: Compressed Sensing using Generative Models »
Tue. Aug 8th 04:42 -- 05:00 AM Room C4.4
More from the Same Authors
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2023 Poster: High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors »
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2019 : Alex Dimakis: Coding Theory for Distributed Learning »
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2019 Oral: Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling »
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2018 Poster: Gradient Coding from Cyclic MDS Codes and Expander Graphs »
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