Prateek Garg

13 papers A* 2Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Search To Sampling: Generative Models For Robust Algorithmic Recourse.
CoRR
Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi
2025 A* conf
From Search to Sampling: Generative Models for Robust Algorithmic Recourse.
ICLR
Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi
2025 J jnl
Masked Diffusion Models are Secretly Learned-Order Autoregressive Models.
CoRR
Prateek Garg, Bhavya Kohli, Sunita Sarawagi
2024 — conf
Automated Classification of Indian Watermelon Varieties Using CNN-PCA: A Machine Learning Approach.
ICCCNT
Rishabh Sharma, Prateek Garg
2024 — conf
Resource Discovery Model for Optimized Performance in P2P Communications.
ICCCNT
Asha Rajiv, V. J. Vijayalakshmi, Saniya Khurana, Prateek Garg, Sonali Prashant Bhoite, K. K. Senthilkumar
2024 — conf
Speeding up NAS with Adaptive Subset Selection.
AutoML
Vishak Prasad C., Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan
2024 — conf
Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications.
BIOSTEC (1)
Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi
2023 J jnl
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications.
CoRR
Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi
2022 J jnl
Nighttime Dehaze-Enhancement.
CoRR
Harshan Baskar, Anirudh SSrinivasanChakravarthy, Prateek Garg, Divyam Goel, Abhijith S. Raj, Kshitij Kumar, Lakshya, Ravichandra Parvatham, V. Sushant, Bijay Kumar Rout
2022 J jnl
Revisiting RCAN: Improved Training for Image Super-Resolution.
CoRR
Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister
2021 J jnl
ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities.
ACM Trans. Internet Techn.
Prateek Garg, Anirudh Srinivasan Chakravarthy, Murari Mandal, Pratik Narang, Vinay Chamola, Mohsen Guizani
2021 A* conf
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract).
AAAI
Prateek Garg, Murari Mandal, Pratik Narang
2021 J jnl
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement.
CoRR
Prateek Garg, Murari Mandal, Pratik Narang