Prateek Garg

According to our database, Prateek Garg authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

From Search to Sampling: Generative Models for Robust Algorithmic Recourse.

Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Evaluating the Effectiveness of Multi-Factor Authentication for Preventing Cyber Attacks.

D. Venkatasubramanian, Saumya Goyal, G. Ezhilarasan, Yogesh K. Sharma, V. J. Vijayalakshmi, Prateek Garg

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Automated Classification of Indian Watermelon Varieties Using CNN-PCA: A Machine Learning Approach.

Rishabh Sharma, Prateek Garg

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Resource Discovery Model for Optimized Performance in P2P Communications.

Asha Rajiv, V. J. Vijayalakshmi, Saniya Khurana, Prateek Garg, Sonali Prashant Bhoite, K. K. Senthilkumar

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Analysis of Traffic Patterns and Optimization of Routing for Cognitive Radio Networks.

J. Jayashankari, Bharat Bhushan, Rekha M. M, Jayashree V. Bagade, K. Yuvaraj, Prateek Garg

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications.

Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Speeding up NAS with Adaptive Subset Selection.

Vishak Prasad C., Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan

Proceedings of the International Conference on Automated Machine Learning, 2024

2023

Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications.

Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi

CoRR, 2023

2022

Nighttime Dehaze-Enhancement.

Harshan Baskar, Anirudh SSrinivasanChakravarthy, Prateek Garg, Divyam Goel, Abhijith S. Raj, Kshitij Kumar, Lakshya, Ravichandra Parvatham, V. Sushant, Bijay Kumar Rout

CoRR, 2022

Revisiting RCAN: Improved Training for Image Super-Resolution.

Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister

CoRR, 2022

2021

ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities.

Prateek Garg, Anirudh Srinivasan Chakravarthy, Murari Mandal, Pratik Narang, Vinay Chamola, Mohsen Guizani

ACM Trans. Internet Techn., 2021

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement.

Prateek Garg, Murari Mandal, Pratik Narang

CoRR, 2021

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract).

Prateek Garg, Murari Mandal, Pratik Narang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021