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ORCIDPrateek Garg
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2020 – today
- 2025
[c8]Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi:
From Search to Sampling: Generative Models for Robust Algorithmic Recourse. ICLR 2025- [i6]Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi:
From Search To Sampling: Generative Models For Robust Algorithmic Recourse. CoRR abs/2505.07351 (2025) - [i5]Prateek Garg, Bhavya Kohli, Sunita Sarawagi:
Masked Diffusion Models are Secretly Learned-Order Autoregressive Models. CoRR abs/2511.19152 (2025) - 2024
- [c7]Vishak Prasad C., Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan:
Speeding up NAS with Adaptive Subset Selection. AutoML 2024: 3/1-23 - [c6]Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi:
Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications. BIOSTEC (1) 2024: 319-325 - [c5]J. Jayashankari
, Bharat Bhushan, Rekha M. M, Jayashree V. Bagade, K. Yuvaraj, Prateek Garg:
Analysis of Traffic Patterns and Optimization of Routing for Cognitive Radio Networks. ICCCNT 2024: 1-6 - [c4]Asha Rajiv, V. J. Vijayalakshmi, Saniya Khurana, Prateek Garg, Sonali Prashant Bhoite, K. K. Senthilkumar:
Resource Discovery Model for Optimized Performance in P2P Communications. ICCCNT 2024: 1-6 - [c3]Rishabh Sharma, Prateek Garg:
Automated Classification of Indian Watermelon Varieties Using CNN-PCA: A Machine Learning Approach. ICCCNT 2024: 1-5 - [c2]D. Venkatasubramanian, Saumya Goyal, G. Ezhilarasan, Yogesh K. Sharma, V. J. Vijayalakshmi, Prateek Garg:
Evaluating the Effectiveness of Multi-Factor Authentication for Preventing Cyber Attacks. ICCCNT 2024: 1-6 - 2023
- [i4]Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi:
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications. CoRR abs/2311.18281 (2023) - 2022
- [i3]Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022) - [i2]Harshan Baskar, Anirudh SSrinivasanChakravarthy, Prateek Garg, Divyam Goel, Abhijith S. Raj, Kshitij Kumar, Lakshya, Ravichandra Parvatham, V. Sushant, Bijay Kumar Rout:
Nighttime Dehaze-Enhancement. CoRR abs/2210.09962 (2022) - 2021
- [j1]Prateek Garg, Anirudh Srinivasan Chakravarthy, Murari Mandal, Pratik Narang, Vinay Chamola, Mohsen Guizani:
ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities. ACM Trans. Internet Techn. 21(3): 66:1-66:18 (2021) - [c1]Prateek Garg, Murari Mandal, Pratik Narang:
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract). AAAI 2021: 15781-15782 - [i1]Prateek Garg, Murari Mandal, Pratik Narang:
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement. CoRR abs/2102.05399 (2021)
Coauthor Index
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