Gagan Madan

Cited by

	All	Since 2020
Citations	89	86
h-index	5	4
i10-index	1	1

20162017201820192020202120222023202420252 1 1 3 9 23 40 10

Co-authors

Gaurav AggarwalStaff Research Scientist, Google ResearchVerified email at cs.umd.edu
Abhradeep Guha ThakurtaGoogle Research - Brain TeamVerified email at google.com
Prateek JainGoogle Research IndiaVerified email at google.com
Aditya SinhaUniversity of Illinois, Urbana-ChampaignVerified email at illinois.edu
Ameya DaigavaneMassachusetts Institute of TechnologyVerified email at mit.edu
Alexander KolesnikovResearch Scientist, Google DeepmindVerified email at google.com
Xiaohua ZhaiOpenAI, previously at Google DeepMindVerified email at google.com
Lucas BeyerOpenAI, Google DeepMind, Google Brain, RWTH AachenVerified email at google.com
Andreas Peter SteinerSoftware engineer, Google ResearchVerified email at google.com
Parag SinglaIndian Institute of Technology DelhiVerified email at cse.iitd.ac.in
Ankit AnandResearch Scientist, Google DeepMindVerified email at google.com
Dr. Parag JainProfessor of Computer Science and EngineeringVerified email at ritroorkee.com
Ramandeep RandhawaUSCVerified email at marshall.usc.edu
Prateek VarshneyIndian Institute of Technology KanpurVerified email at google.com
Soumyabrata PalAdobe Research, IndiaVerified email at adobe.com
Pradeep ShenoyUniversity of Washington, University of California, San Diego, Microsoft, Google ResearchVerified email at cs.washington.edu

Gagan Madan

Google Inc.

Verified email at google.com

Machine Learning NLP


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Node-level differentially private graph neural networks A Daigavane, G Madan, A Sinha, AG Thakurta, G Aggarwal, P Jain arXiv preprint arXiv:2111.15521, 2021	58	2021
A study of autoregressive decoders for multi-tasking in computer vision L Beyer, B Wan, G Madan, F Pavetic, A Steiner, A Kolesnikov, AS Pinto, ... arXiv preprint arXiv:2303.17376, 2023	8	2023
Analyzing the efficacy of an llm-only approach for image-based document question answering N Hegde, S Paul, G Madan, G Aggarwal arXiv preprint arXiv:2309.14389, 2023	7	2023
Block-value symmetries in probabilistic graphical models G Madan, A Anand, P Singla arXiv preprint arXiv:1807.00643, 2018	5	2018
Topic modeling using distributed word embeddings RS Randhawa, P Jain, G Madan arXiv preprint arXiv:1603.04747, 2016	5	2016
Weakly supervised information extraction from inscrutable handwritten document images S Paul, G Madan, A Mishra, N Hegde, P Kumar, G Aggarwal International Conference on Document Analysis and Recognition, 445-463, 2023	3	2023
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models D Tula, S Paul, G Madan, P Garst, R Ingle, G Aggarwal arXiv preprint arXiv:2308.15037, 2023	2	2023
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components S Pal, P Varshney, G Madan, P Jain, A Thakurta, G Aggarwal, P Shenoy, ... International Conference on Artificial Intelligence and Statistics, 1702-1710, 2024	1	2024
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals AK Mohankumar, G Madan, A Singh arXiv preprint arXiv:2407.14346, 2024		2024
Private and Efficient Meta-Learning with Low Rank and Sparse decomposition S Pal, P Varshney, G Madan, AG Thakurta, G Aggarwal, P Shenoy, ...		2022
A Survey of Distant Supervision Methods using PGMs G Madan arXiv preprint arXiv:1705.03751, 2017		2017
YelpMeOut: Personalized Sentiment Analysis SK Kolluru, G Madan

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