Antonios Valkanas

23 papers A* 3A 1Misc 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Bayesian Koopman Time Series Forecasting.
CAMSAP
Antonios Valkanas, Theodore Glavas, Boris N. Oreshkin, Mark J. Coates
2025 J jnl
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning.
CoRR
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev, Yingxue Zhang, Mark Coates
2025 A conf
MODL: Multilearner Online Deep Learning.
AISTATS
Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2025 J jnl
Personalized Negative Reservoir for Incremental Learning in Recommender Systems.
Trans. Mach. Learn. Res.
Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates
2025 J jnl
Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs.
CoRR
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
2025 A* conf
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting.
ICML
Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2025 J jnl
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting.
CoRR
Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2024 J jnl
Dynamic layer selection in decoder-only transformers.
CoRR
Theodore Glavas, Joud Chataoui, Florence Regol, Wassim Jabbour, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2024 J jnl
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification.
CoRR
Bishal Thapaliya, Anh Nguyen, Yao Lu, Tian Xie, Igor Grudetskyi, Fudong Lin, Antonios Valkanas, Jingyu Liu, Deepayan Chakraborty, Bilel Fehri
2024 J jnl
MODL: Multilearner Online Deep Learning.
CoRR
Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2024 J jnl
Motion In-Betweening via Deep $\Delta$Δ-Interpolator.
IEEE Trans. Vis. Comput. Graph.
Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates
2024 J jnl
Personalized Negative Reservoir for Incremental Learning in Recommender Systems.
CoRR
Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates
2024 J jnl
Population Monte Carlo With Normalizing Flow.
IEEE Signal Process. Lett.
Soumyasundar Pal, Antonios Valkanas, Mark Coates
2023 A* conf
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
AAAI
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023 J jnl
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
CoRR
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2022 A* conf
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks.
AAAI
Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022 J jnl
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks.
CoRR
Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022 — conf
Contrastive Learning for Time Series on Dynamic Graphs.
EUSIPCO
Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
2022 J jnl
Contrastive Learning for Time Series on Dynamic Graphs.
CoRR
Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
2022 J jnl
Motion Inbetweening via Deep Δ-Interpolator.
CoRR
Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates
2022 — conf
Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks.
IEEECONF
Antonios Valkanas, André-Walter Panzini, Mark Coates
2020 Misc conf
Learning from Networks of Distributions.
ACSSC
Antonios Valkanas, Florence Regol, Mark Coates
2007 J jnl
Adaptive TDD Synchronisation for WIMAX Access Networks.
IET Commun.
Konstantinos Ntagkounakis, Panagiotis I. Dallas, Bayan S. Sharif, Antonios Valkanas