NetSyn: Neural Evolutionary Technique to Synthesize Programs. - Shantanu Mandal; Todd A. Anderson 001; Mejbah Alam; Justin Gottschlich; Abdullah Muzahid (CoRR, 2019)

Learning Fitness Functions for Machine Programming. - Shantanu Mandal; Todd A. Anderson 001; Javier Turek; Justin Gottschlich; Shengtian Zhou; Abdullah Muzahid (MLSys, 2021)

SIMCNN - Exploiting Computational Similarity to Accelerate CNN Training in Hardware. - Vahid Janfaza; Kevin Weston; Moein Razavi; Shantanu Mandal; Abdullah Muzahid (CoRR, 2021)

XMeter: Finding Approximable Functions and Predicting Their Accuracy. - Riad Akram; Shantanu Mandal; Abdullah Muzahid (IEEE Trans. Computers, 2021)

Synthesizing Programs with Continuous Optimization. - Shantanu Mandal; Todd A. Anderson 001; Javier Turek; Justin Gottschlich; Abdullah Muzahid (CoRR, 2022)

MERCURY: Accelerating DNN Training By Exploiting Input Similarity. - Vahid Janfaza; Kevin Weston; Moein Razavi; Shantanu Mandal; Farabi Mahmud; Alex Hilty; Abdullah Muzahid (HPCA, 2023)

ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction. - Vahid Janfaza; Shantanu Mandal; Farabi Mahmud; Abdullah Muzahid (MICRO, 2023)

Large Language Models Based Automatic Synthesis of Software Specifications. - Shantanu Mandal; Adhrik Chethan; Vahid Janfaza; S. M. Farabi Mahmud; Todd A. Anderson 001; Javier Turek; Jesmin Jahan Tithi; Abdullah Muzahid (CoRR, 2023)

Adaptive Gradient Prediction for DNN Training. - Vahid Janfaza; Shantanu Mandal; Farabi Mahmud; Abdullah Muzahid (CoRR, 2023)

Learning-Based Automatic Synthesis of Software Code and Configuration. - Shantanu Mandal (CoRR, 2023)