| 2026 | AAAI | Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge. | Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Tapan K. Gandhi, Jayadeva |
| 2025 | DSAA | REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation. | Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Jayadeva |
| 2024 | AAAI | No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation. | Nimesh Agrawal, Anuj Kumar Sirohi, Sandeep Kumar, Jayadeva |
| 2024 | ASPDAC | HybMT: Hybrid Meta-Predictor based ML Algorithm for Fast Test Vector Generation. | Shruti Pandey, Jayadeva, Smruti R. Sarangi |
| 2024 | ICLR | BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. | Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
| 2023 | ICLR | Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. | Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
| 2021 | ESANN | Enhash: A Fast Streaming Algorithm For Concept Drift Detection. | Aashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva |
| 2019 | COMAD | Learning from Low Training Data using Classifiers with Derivative Constraints. | Sumit Soman, Jayadeva |
| 2018 | ICPR | Variational Bayes Block Sparse Modeling with Correlated Entries. | Shruti Sharma, Santanu Chaudhury, Jayadeva |
| 2018 | IJCNN | Twin Neural Networks for Efficient EEG Signal Classification. | Himanshu Pant, Sumit Soman, Jayadeva, Mayank Sharma |
| 2018 | IJCNN | Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines. | Mayank Sharma, Sumit Soman, Jayadeva, Himanshu Pant |
| 2016 | SMC | EigenAnt assisted IACOℝ for continuous global optimization. | Udit Kumar, Sumit Soman, Jayadeva |
| 2016 | SMC | Improved sEMG signal classification using the Twin SVM. | Sumit Soman, Jayadeva, Sridhar P. Arjunan, Dinesh Kant Kumar |
| 2015 | GECCO | Enhancing IACO | Udit Kumar, Jayadeva, Sumit Soman |
| 2015 | GECCO | Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization. | Udit Kumar, Jayadeva, Sumit Soman |
| 2015 | IJCNN | The MC-ELM: Learning an ELM-like network with minimum VC dimension. | Jayadeva, Sumit Soman, Amit Bhaya |
| 2014 | CEC | The Coupled EigenAnt algorithm for shortest path problems. | Eugenius Kaszkurewicz, Amit Bhaya, Jayadeva, Joo Marcos Meirelles da Silva |
| 2011 | AAAI | M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. | Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra |
| 2008 | AAAI | Mathematical Modeling and Convergence Analysis of Trail Formation. | Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra |
| 2006 | IJCNN | Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. | Jayadeva, Reshma Khemchandani, Suresh Chandra |
| 2006 | IJCNN | Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. | Jayadeva, Reshma Khemchandani, Suresh Chandra |
| 2003 | COLT | Sparse Probability Regression by Label Partitioning. | Shantanu Chakrabartty, Gert Cauwenberghs, Jayadeva |
| 1999 | VLSID | Sequential Chaotic Annealing and its Application to Multilayer Channel Routing. | Jayadeva |