EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. - Neeraj Wagh; Yogatheesan Varatharajah (ML4H@NeurIPS, 2020)

Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Leland Barnard; Benjamin H. Brinkmann; Gregory A. Worrell; David T. Jones; Yogatheesan Varatharajah (ML4H@NeurIPS, 2021)

Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Yogatheesan Varatharajah (NeurIPS, 2022)

Assessing Robustness of EEG Representations under Data-shifts via Latent Space and Uncertainty Analysis. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Yogatheesan Varatharajah (CoRR, 2022)

Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. - Teja Gupta; Neeraj Wagh; Samarth Rawal; Brent M. Berry; Gregory A. Worrell; Yogatheesan Varatharajah (NER, 2023)

EEG Foundation Models: A Critical Review of Current Progress and Future Directions. - Gayal Kuruppu; Neeraj Wagh; Yogatheesan Varatharajah (CoRR, 2025)