Kartik Goyal (TTIC) - Appropriate Inductive Bias for Neural Probabilistic Modelling of Data
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.
Presence at TTIC requires being fully vaccinated for COVID-19 or having a TTIC or UChicago-approved exemption. Masks are required in all common areas. Full visitor guidance available at ttic.edu/visitors.
For Zoom attendance, register in advance here.
Host: Research at TTIC
Speakers
Kartik Goyal
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.
