Contextual Care Protocol using Neural Networks and Decision Trees. - Yash Pratyush Sinha; Pranshu Malviya; Minerva Panda; Syed Mohd Ali (CoRR, 2018)

A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal. - Pavan Ravishankar; Pranshu Malviya; Balaraman Ravindran (CoRR, 2020)

A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. - Pavan Ravishankar; Pranshu Malviya; Balaraman Ravindran (ACML, 2021)

Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper. - Yash Pratyush Sinha; Pranshu Malviya; Rupaj Kumar Nayak (CoRR, 2021)

TAG: Task-based Accumulated Gradients for Lifelong learning. - Pranshu Malviya; Balaraman Ravindran; Sarath Chandar (CoLLAs, 2022)

An Introduction to Lifelong Supervised Learning. - Shagun Sodhani; Mojtaba Faramarzi; Sanket Vaibhav Mehta; Pranshu Malviya; Mohamed A. Abdelsalam; Janarthanan Rajendran; Sarath Chandar (CoRR, 2022)

Feature diversity in self-supervised learning. - Pranshu Malviya; Arjun Vaithilingam Sudhakar (CoRR, 2022)

Lookbehind Optimizer: k steps back, 1 step forward. - Gonçalo Mordido; Pranshu Malviya; Aristide Baratin; Sarath Chandar (CoRR, 2023)

Lookbehind-SAM: k steps back, 1 step forward. - Gonçalo Mordido; Pranshu Malviya; Aristide Baratin; Sarath Chandar (ICML, 2024)

Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective. - Pranshu Malviya; Jerry Huang; Quentin Fournier; Sarath Chandar (CoRR, 2024)

Torque-Aware Momentum. - Pranshu Malviya; Gonçalo Mordido; Aristide Baratin; Reza Babanezhad Harikandeh; Gintare Karolina Dziugaite; Razvan Pascanu; Sarath Chandar (CoRR, 2024)

Promoting Exploration in Memory-Augmented Adam using Critical Momenta. - Pranshu Malviya; Gonçalo Mordido; Aristide Baratin; Reza Babanezhad Harikandeh; Jerry Huang; Simon Lacoste-Julien; Razvan Pascanu; Sarath Chandar (Trans. Mach. Learn. Res., 2024)