Publications

You can also find my articles on my Google Scholar profile.

C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
A. Valkanas, S. Pal, P. Rumiantsev, Y. Zhang, M. Coates
NeurIPS 2025
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SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Y. Zhang, L. Ma, A. Valkanas, B. N. Oreshkin, M. Coates
ICML 2025
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Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
M. A. Alomrani, Y. Zhang, D. Li, Q. Sun, S. Pal, Z. Zhang, Y. Hu, R. D. Ajwani, ... A. Valkanas
arXiv preprint arXiv:2507.02076, 2025
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MODL: Multilearner Online Deep Learning
A. Valkanas, B. N. Oreshkin, M. Coates
AISTATS 2025
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Personalized Negative Reservoir for Incremental Learning in Recommender Systems
A. Valkanas, Y. Wang, Y. Zhang, M. Coates
Transactions on Machine Learning Research (TMLR), 2025
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Dynamic Layer Selection in Decoder-Only Transformers
T. Glavas, J. Chataoui, F. Regol, W. Jabbour, A. Valkanas, B. N. Oreshkin, ...
NeurIPS Efficient Natural Language and Speech Processing Workshop (ENLSP-IV), 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification
B. Thapaliya, A. Nguyen, Y. Lu, T. Xie, I. Grudetskyi, F. Lin, A. Valkanas, J. Liu, ...
arXiv preprint arXiv:2410.11765, 2024
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Motion In-Betweening via Deep Interpolator
B. N. Oreshkin, A. Valkanas, F. G. Harvey, L. S. Menard, F. Bocquelet, M. Coates
IEEE Transactions on Visualization and Computer Graphics 30(8):5693-5704, 2023
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Population Monte Carlo with Normalizing Flow
S. Pal, A. Valkanas, M. Coates
IEEE Signal Processing Letters 31, 16-20, 2023
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Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
Y. Wang, Y. Zhang, A. Valkanas, R. Tang, C. Ma, J. Hao, M. Coates
AAAI 2023
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Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks
A. Valkanas, A.-W. Panzini, M. Coates
56th Asilomar Conference on Signals, Systems, and Computers, 2022
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Contrastive Learning for Time Series on Dynamic Graphs
Y. Zhang, F. Regol, A. Valkanas, M. Coates
EUSIPCO 2022
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Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
S. Pal, A. Valkanas, F. Regol, M. Coates
AAAI 2022
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Graph Modelling of Bag Relations in Multiple Instance Learning
A. Valkanas
McGill University (Master's Thesis), 2021
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Learning from Networks of Distributions
A. Valkanas, F. Regol, M. Coates
Asilomar Conference on Signals, Systems, and Computers, 2020
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Surfing the Radio Spectrum Using RTL-SDR
A. Valkanas, D. Pandey, H. Leib
IETE Journal of Education, 2019
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