Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. - Mustafa Burak Gurbuz; Islem Rekik (MICCAI (7), 2020)

MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations. - Mustafa Burak Gurbuz; Islem Rekik (Medical Image Anal., 2021)

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - Indranil Sur; Zachary Daniels; Abrar Rahman; Kamil Faber; Gianmarco J. Gallardo; Tyler L. Hayes; Cameron E. Taylor; Mustafa Burak Gurbuz; James Seale Smith; Sahana Pramod Joshi; Nathalie Japkowicz; Michael Baron; et al. (AIMLSystems, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Alan Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran; Roberto Corizzo; Kamil Faber; Nathalie Japkowicz; Michael Baron; James Seale Smith; et al. (CoLLAs, 2022)

NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks. - Mustafa Burak Gurbuz; Constantine Dovrolis (ICML, 2022)

Class-Incremental Continual Learning for General Purpose Healthcare Models. - Amritpal Singh; Mustafa Burak Gurbuz; Shiva Souhith Gantha; Prahlad Jasti (CoRR, 2023)

NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning. - Mustafa Burak Gurbuz; Jean Michael Moorman; Constantine Dovrolis (CVPR, 2024)

SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning. - Mustafa Burak Gurbuz; Jean Michael Moorman; Constantine Dovrolis (ICDL, 2024)

PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity. - Mustafa Burak Gurbuz; Xingyu Zheng; Constantine Dovrolis (CoRR, 2025)