Antonios Valkanas

According to our database, Antonios Valkanas authored at least 15 papers between 2007 and 2025.

Collaborative distances:

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

2025

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs.

Mohammad Ali Alomrani, Yingxue Zhang, Derek Li, Qianyi Sun, Soumyasundar Pal, Zhanguang Zhang, Yaochen Hu, Rohan Deepak Ajwani, Antonios Valkanas, Raika Karimi, Peng Cheng, Yunzhou Wang, Pengyi Liao, Hanrui Huang, Bin Wang, Jianye Hao, Mark Coates

CoRR, July, 2025

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting.

Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates

CoRR, June, 2025

Personalized Negative Reservoir for Incremental Learning in Recommender Systems.

Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates

Trans. Mach. Learn. Res., 2025

MODL: Multilearner Online Deep Learning.

Antonios Valkanas, Boris N. Oreshkin, Mark Coates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

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

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