Adaptive TDD Synchronisation for WIMAX Access Networks. - Konstantinos Ntagkounakis; Panagiotis I. Dallas; Bayan S. Sharif; Antonios Valkanas (IET Commun., 2007)

Learning from Networks of Distributions. - Antonios Valkanas; Florence Regol; Mark Coates (ACSSC, 2020)

Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. - Soumyasundar Pal; Antonios Valkanas; Florence Regol; Mark Coates (AAAI, 2022)

Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks. - Antonios Valkanas; André-Walter Panzini; Mark Coates (IEEECONF, 2022)

Contrastive Learning for Time Series on Dynamic Graphs. - Yitian Zhang; Florence Regol; Antonios Valkanas; Mark Coates (EUSIPCO, 2022)

Motion Inbetweening via Deep Δ-Interpolator. - Boris N. Oreshkin; Antonios Valkanas; Félix G. Harvey; Louis-Simon Ménard; Florent Bocquelet; Mark J. Coates (CoRR, 2022)

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. - Yuening Wang; Yingxue Zhang 001; Antonios Valkanas; Ruiming Tang; Chen Ma 001; Jianye Hao; Mark Coates (AAAI, 2023)

ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. - Bishal Thapaliya; Anh Nguyen; Yao Lu; Tian Xie; Igor Grudetskyi; Fudong Lin; Antonios Valkanas; Jingyu Liu 001; Deepayan Chakraborty; Bilel Fehri (CoRR, 2024)

Dynamic layer selection in decoder-only transformers. - Theodore Glavas; Joud Chataoui; Florence Regol; Wassim Jabbour; Antonios Valkanas; Boris N. Oreshkin; Mark Coates (CoRR, 2024)

Population Monte Carlo With Normalizing Flow. - Soumyasundar Pal; Antonios Valkanas; Mark Coates (IEEE Signal Process. Lett., 2024)

Motion In-Betweening via Deep $ Delta$Δ-Interpolator. - Boris N. Oreshkin; Antonios Valkanas; Félix G. Harvey; Louis-Simon Ménard; Florent Bocquelet; Mark J. Coates (IEEE Trans. Vis. Comput. Graph., 2024)

MODL: Multilearner Online Deep Learning. - Antonios Valkanas; Boris N. Oreshkin; Mark Coates (AISTATS, 2025)

Personalized Negative Reservoir for Incremental Learning in Recommender Systems. - Antonios Valkanas; Yuening Wang; Yingxue Zhang 001; Mark Coates (Trans. Mach. Learn. Res., 2025)

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. - Yitian Zhang; Liheng Ma; Antonios Valkanas; Boris N. Oreshkin; Mark Coates (CoRR, 2025)

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs. - Mohammad Ali Alomrani; Yingxue Zhang 001; Derek Li; Qianyi Sun; Soumyasundar Pal; Zhanguang Zhang; Yaochen Hu 001; Rohan Deepak Ajwani; Antonios Valkanas; Raika Karimi; Peng Cheng; Yunzhou Wang; et al. (CoRR, 2025)