Fractional GPUs: Software-Based Compute and Memory Bandwidth Reservation for GPUs. - Saksham Jain; Iljoo Baek; Shige Wang; Ragunathan Rajkumar (RTAS, 2019)

Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. - Gaurav Kumar Nayak; Saksham Jain; R. Venkatesh Babu; Anirban Chakraborty 001 (BigMM, 2020)

COVID Detection Using Chest X-Ray and Transfer Learning. - Saksham Jain; Nidhi Sindhwani; Rohit Anand; Ramani Kannan (ISDA, 2021)

Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Saksham Jain; Anirban Chakraborty 001 (CoRR, 2021)

Online Piercing of Geometric Objects. - Minati De; Saksham Jain; Sarat Varma Kallepalli; Satyam Singh 001 (FSTTCS, 2022)

Synthetic data augmentation for surface defect detection and classification using deep learning. - Saksham Jain; Gautam Seth; Arpit Paruthi; Umang Soni; Girish Kumar (J. Intell. Manuf., 2022)

Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Saksham Jain; Anirban Chakraborty 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Comparison of ML, Deep Learning and Bio-inspired Algorithms in Bug Triaging. - Asmita Yadav; Govind Yadav; Saksham Jain; Suraj Ajay Dwivedi (IC3, 2023)

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. - Travis Seale-Carlisle; Saksham Jain; Courtney Lee; Caroline Levenson; Swathi Ramprasad; Brandon Garrett; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (AAAI, 2024)

Online Geometric Covering and Piercing. - Minati De; Saksham Jain; Sarat Varma Kallepalli; Satyam Singh 001 (Algorithmica, 2024)