Autonomous Inverted Helicopter Flight via Reinforcement Learning. - Andrew Y. Ng; Adam Coates 002; Mark Diel; Varun Ganapathi; Jamie Schulte; Ben Tse; Eric Berger; Eric Liang (ISER, 2004)

Learning vehicular dynamics, with application to modeling helicopters. - Pieter Abbeel; Varun Ganapathi; Andrew Y. Ng (NIPS, 2005)

Efficient Structure Learning of Markov Networks using L1-Regularization. - Su-In Lee; Varun Ganapathi; Daphne Koller (NIPS, 2006)

Constrained Approximate Maximum Entropy Learning of Markov Random Fields. - Varun Ganapathi; David Vickrey; John C. Duchi; Daphne Koller (UAI, 2008)

Real time motion capture using a single time-of-flight camera. - Varun Ganapathi; Christian Plagemann; Daphne Koller; Sebastian Thrun (CVPR, 2010)

Real-time identification and localization of body parts from depth images. - Christian Plagemann; Varun Ganapathi; Daphne Koller; Sebastian Thrun (ICRA, 2010)

Grasping with application to an autonomous checkout robot. - Ellen Klingbeil; Deepak Rao; Blake Carpenter; Varun Ganapathi; Andrew Y. Ng; Oussama Khatib (ICRA, 2011)

Real-Time Human Pose Tracking from Range Data. - Varun Ganapathi; Christian Plagemann; Daphne Koller; Sebastian Thrun (ECCV (6), 2012)

Real-time human pose tracking from range data. - Varun Ganapathi (2014)

GritNet: Student Performance Prediction with Deep Learning. - Byung-Hak Kim; Ethan Vizitei; Varun Ganapathi (EDM, 2018)

GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation. - Byung-Hak Kim; Ethan Vizitei; Varun Ganapathi (CoRR, 2018)

LumièreNet: Lecture Video Synthesis from Audio. - Byung-Hak Kim; Varun Ganapathi (CoRR, 2019)

Deep Claim: Payer Response Prediction from Claims Data with Deep Learning. - Byung-Hak Kim; Seshadri Sridharan; Andy Atwal; Varun Ganapathi (CoRR, 2020)

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. - Byung-Hak Kim; Varun Ganapathi (MLHC, 2021)

Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? - Byung-Hak Kim; Zhongfen Deng; Philip S. Yu; Varun Ganapathi (LOUHI@EMNLP, 2022)

RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild. - Weiyao Wang 002; Byung-Hak Kim; Varun Ganapathi (CoRR, 2022)