Antonios Valkanas

4 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17)

Venues

AAAI (2) AISTATS (1) ICML (1)

Top co-authors

Mark Coates (4) Boris N. Oreshkin (2) Yuening Wang (1) Jianye Hao (1) Chen Ma (1) Liheng Ma (1) Yingxue Zhang (1) Florence Regol (1) Yitian Zhang (1) Ruiming Tang (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (3) Core Methods (3) Learning Types · Machine Learning (3) Learning Types · Deep Learning (3) Artificial Intelligence (1) Data Science & Analytics (1) Application Areas (1) Applications (1) Bayesian & Probabilistic (1) Optimization & Theory (1)

Keywords

graph neural network (2) incremental learning (2) bayesian learning (1) bayesian inference (1) logistic regression (1) weakly supervised learning (1) knowledge distillation (1) deep learning (1) multiple instance learning (1) spectral decomposition (1) data stream (1) end-to-end learning (1) linear rnn (1) recommender system (1) feature distillation (1) distribution regression (1) multi-layer perceptron (1) personalized learning (1) koopman operator (1) closed form update (1)

Papers

MODL: Multilearner Online Deep Learning AISTATS 2025 SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting ICML 2025 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022