| 2025 | CIKM | Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. | Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar |
| 2024 | ACCV | Calibration Transfer via Knowledge Distillation. | Ramya Hebbalaguppe, Mayank Baranwal, Kartik Anand, Chetan Arora |
| 2024 | ECAI | A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality. | Kushal Chakrabarti, Mayank Baranwal |
| 2024 | ECAI | ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. | Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj |
| 2024 | ECAI | Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning. | Aritra Pal, Anandsingh Chauhan, Mayank Baranwal, Ankush Ojha |
| 2023 | AAAI | PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. | Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary |
| 2022 | AAAI | Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. | Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota |
| 2021 | CIKM | Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. | Somjit Nath, Mayank Baranwal, Harshad Khadilkar |
| 2020 | ISIT | The Power of Graph Convolutional Networks to Distinguish Random Graph Models. | Abram Magner, Mayank Baranwal, Alfred O. Hero III |
| 2019 | AAAI | On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. | Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka |
| 2018 | ACISP | CRT-KPS: A Key Predistribution Schemes Using CRT. | Pinaki Sarkar, Mayank Baranwal, Sukumar Nandi |