Kartik Goyal (TTIC) - Appropriate Inductive Bias for Neural Probabilistic Modelling of Data

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November 19, 2021 at 10:30am - 11:30am
TTIC & Remote
Event Audience:
Kartik Goyal

Speaker: Kartik Goyal Research Assistant Professor, Toyota Technological Institute at Chicago

Kartik Goyal received his PhD in 2021 from Language Technologies Institute, School of Computer Science at Carnegie Mellon University. Previously, he completed his Masters degree in Language Technologies in 2014 at the same institute and worked as a Machine Translation researcher at Safaba Translation Solutions before starting his PhD.

He is interested in Natural Language Processing and Machine Learning problems pertaining to modeling data with structured random variables for development of efficient, interpretable, and controllable probabilistic models.

Dr. Goyal also has a personally maintained website which can be found at http://www.ttic.edu/goyal.

Abstract: Appropriate Inductive Bias for Neural Probabilistic Modelling of Data

Research at TTIC Seminar Series

TTIC is hosting a weekly seminar series presenting the research currently underway at the Institute. Every week a different TTIC faculty member will present their research.  The lectures are intended both for students seeking research topics and advisors, and for the general TTIC and University of Chicago communities interested in hearing what their colleagues are up to. 

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Host: Research at TTIC

Type: talk