Varun Ganapathi

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 10

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Publications

Weiyao Wang, Byung-Hak Kim, Varun Ganapathi
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild. CoRR (2022)
Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? CoRR (2022)
Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? LOUHI@EMNLP (2022)
Byung-Hak Kim, Varun Ganapathi
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. CoRR (2021)
Byung-Hak Kim, Varun Ganapathi
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. MLHC (2021)
Byung-Hak Kim, Seshadri Sridharan, Andy Atwal, Varun Ganapathi
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning. CoRR (2020)
Byung-Hak Kim, Varun Ganapathi
LumièreNet: Lecture Video Synthesis from Audio. CoRR (2019)
Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi
GritNet: Student Performance Prediction with Deep Learning. EDM (2018)
Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi
GritNet: Student Performance Prediction with Deep Learning. CoRR (2018)
Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi
GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation. CoRR (2018)
Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
Real-Time Human Pose Tracking from Range Data. ECCV (6) (2012)
Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller
Constrained Approximate Maximum Entropy Learning of Markov Random Fields CoRR (2012)
Ellen Klingbeil, Deepak Rao, Blake Carpenter, Varun Ganapathi, Andrew Y. Ng, Oussama Khatib
Grasping with application to an autonomous checkout robot. ICRA (2011)
Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun
Real-time identification and localization of body parts from depth images. ICRA (2010)
Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
Real time motion capture using a single time-of-flight camera. CVPR (2010)
Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller
Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI (2008)
Su-In Lee, Varun Ganapathi, Daphne Koller
-Regularization. NIPS (2006)
Pieter Abbeel, Varun Ganapathi, Andrew Y. Ng
Learning vehicular dynamics, with application to modeling helicopters. NIPS (2005)
Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, Ben Tse, Eric Berger, Eric Liang
Autonomous Inverted Helicopter Flight via Reinforcement Learning. ISER (2004)