Evidential Turing Processes. - Melih Kandemir; Abdullah Akgül; Manuel Haußmann; Gozde Unal (ICLR, 2022)

How to Combine Variational Bayesian Networks in Federated Learning. - Atahan Ozer; Kadir Burak Buldu; Abdullah Akgül; Gozde Unal (CoRR, 2022)

PAC-Bayesian Soft Actor-Critic Learning. - Bahareh Tasdighi; Abdullah Akgül; Kenny Kazimirzak Brink; Melih Kandemir (CoRR, 2023)

BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits. - Nicklas Werge; Abdullah Akgül; Melih Kandemir (CoRR, 2023)

Meta Continual Learning on Graphs with Experience Replay. - Altay Unal; Abdullah Akgül; Melih Kandemir; Gozde Unal (Trans. Mach. Learn. Res., 2023)

PAC-Bayesian Soft Actor-Critic Learning. - Bahareh Tasdighi; Abdullah Akgül; Manuel Haussmann; Kenny Kazimirzak Brink; Melih Kandemir (AABI, 2024)

Continual learning of multi-modal dynamics with external memory. - Abdullah Akgül; Gozde Unal; Melih Kandemir (L4DC, 2024)

Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning. - Abdullah Akgül; Manuel Haussmann; Melih Kandemir (NeurIPS, 2024)

Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting. - Busra Asan; Abdullah Akgül; Alper Ünal; Melih Kandemir; Gozde Unal (CoRR, 2024)

Improving Plasticity in Non-stationary Reinforcement Learning with Evidential Proximal Policy Optimization. - Abdullah Akgül; Gulcin Baykal; Manuel Haußmann; Melih Kandemir (CoRR, 2025)

ObjectRL: An Object-Oriented Reinforcement Learning Codebase. - Gulcin Baykal; Abdullah Akgül; Manuel Haussmann; Bahareh Tasdighi; Nicklas Werge; Yi-Shan Wu 003; Melih Kandemir (CoRR, 2025)