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ORCIDVarun Ganapathi
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2020 – today
- 2022
[c11]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: 26-34- [i8]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 abs/2210.15882 (2022) - [i7]Weiyao Wang, Byung-Hak Kim, Varun Ganapathi:
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild. CoRR abs/2211.01165 (2022) - 2021
- [c10]Byung-Hak Kim, Varun Ganapathi:
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. MLHC 2021: 196-208 - [i6]Byung-Hak Kim, Varun Ganapathi:
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. CoRR abs/2107.10650 (2021) - 2020
- [i5]Byung-Hak Kim, Seshadri Sridharan, Andy Atwal, Varun Ganapathi:
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning. CoRR abs/2007.06229 (2020)
2010 – 2019
- 2019
- [i4]Byung-Hak Kim, Varun Ganapathi:
LumièreNet: Lecture Video Synthesis from Audio. CoRR abs/1907.02253 (2019) - 2018
- [c9]Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi:
GritNet: Student Performance Prediction with Deep Learning. EDM 2018 - [i3]Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi:
GritNet: Student Performance Prediction with Deep Learning. CoRR abs/1804.07405 (2018) - [i2]Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi:
GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation. CoRR abs/1809.06686 (2018) - 2014
- [b1]Varun Ganapathi:
Real-time human pose tracking from range data. Stanford University, USA, 2014 - 2012
- [c8]Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun:
Real-Time Human Pose Tracking from Range Data. ECCV (6) 2012: 738-751 - [i1]Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller:
Constrained Approximate Maximum Entropy Learning of Markov Random Fields. CoRR abs/1206.3257 (2012) - 2011
- [c7]Ellen Klingbeil, Deepak Rao, Blake Carpenter, Varun Ganapathi, Andrew Y. Ng, Oussama Khatib:
Grasping with application to an autonomous checkout robot. ICRA 2011: 2837-2844 - 2010
- [c6]Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun:
Real time motion capture using a single time-of-flight camera. CVPR 2010: 755-762 - [c5]Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun:
Real-time identification and localization of body parts from depth images. ICRA 2010: 3108-3113
2000 – 2009
- 2008
- [c4]Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller:
Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI 2008: 196-203 - 2006
- [c3]Su-In Lee, Varun Ganapathi, Daphne Koller:
Efficient Structure Learning of Markov Networks using L1-Regularization. NIPS 2006: 817-824 - 2005
- [c2]Pieter Abbeel, Varun Ganapathi, Andrew Y. Ng:
Learning vehicular dynamics, with application to modeling helicopters. NIPS 2005: 1-8 - 2004
- [c1]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: 363-372
Coauthor Index
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