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ORCIDRishabh Garg
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2020 – today
- 2023
[j3]Wei Jing Fong, Hong Ming Tan
, Rishabh Garg, Ai Ling Teh, Hong Pan, Varsha Gupta, Bernadus Krishna, Zou Hui Chen, Natania Yovela Purwanto, Fabian Yap, Kok Hian Tan, Kok Yen Jerry Chan, Shiao-Yng Chan, Nicole Goh, Nikita Rane, Ethel Siew Ee Tan, Yuheng Jiang, Mei Han, Michael J. Meaney, Dennis Wang, Jussi Keppo, Geoffrey Chern-Yee Tan:
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation. Frontiers Neuroinformatics 17 (2023)- [j2]Rishabh Garg, Ruohan Gao, Kristen Grauman:
Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-task Learning. Int. J. Comput. Vis. 131(10): 2723-2737 (2023) - [j1]Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. J. Open Source Softw. 8(82): 5026 (2023) - [c6]Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta:
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. ACL (Findings) 2023: 11344-11358 - [i4]Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. CoRR abs/2302.00820 (2023) - [i3]Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta:
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. CoRR abs/2306.00374 (2023) - 2021
- [c5]Rishabh Garg, Ruohan Gao, Kristen Grauman:
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. BMVC 2021: 1 - [i2]Rishabh Garg, Ruohan Gao, Kristen Grauman:
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. CoRR abs/2111.10882 (2021)
2010 – 2019
- 2018
- [c4]Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition. BTAS 2018: 1-7 - [i1]Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition. CoRR abs/1811.00846 (2018) - 2016
- [c3]Yogesh Marathe, Kedar Chitnis, Rishabh Garg:
Boot time optimization techniques for automotive rear view camera systems. ICCE 2016: 77-80 - 2010
- [c2]Mohan N. Dani, Tanveer A. Faruquie, Rishabh Garg, Govind Kothari, Mukesh K. Mohania, K. Hima Prasad, L. Venkata Subramaniam, Varsha N. Swamy:
A Knowledge Acquisition Method for Improving Data Quality in Services Engagements. IEEE SCC 2010: 346-353
2000 – 2009
- 2003
- [c1]Gaurav Gupta, Rishabh Garg:
Minimizing the cost of mobility management: distance-based scheme as a function of user's profile. WCNC 2003: 2075-2080
Coauthor Index
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