Antonios Valkanas

According to our database, Antonios Valkanas authored at least 13 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., August, 2024

Population Monte Carlo With Normalizing Flow.

Soumyasundar Pal, Antonios Valkanas, Mark Coates

IEEE Signal Process. Lett., 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

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, Deepayan Chakraborty, Bilel Fehri

CoRR, 2024

MODL: Multilearner Online Deep Learning.

Antonios Valkanas, Boris N. Oreshkin, Mark Coates

CoRR, 2024

Personalized Negative Reservoir for Incremental Learning in Recommender Systems.

Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates

CoRR, 2024

2023

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.

Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Contrastive Learning for Time Series on Dynamic Graphs.

Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates

Proceedings of the 30th European Signal Processing Conference, 2022

Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks.

Antonios Valkanas, André-Walter Panzini, Mark Coates

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks.

Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Learning from Networks of Distributions.

Antonios Valkanas, Florence Regol, Mark Coates

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2007

Adaptive TDD Synchronisation for WIMAX Access Networks.

Konstantinos Ntagkounakis, Panagiotis I. Dallas, Bayan S. Sharif, Antonios Valkanas

IET Commun., 2007