| 2025 | ICAART | Cross-Domain Generalization with Reverse Dynamics Models in Offline Model-Based Reinforcement Learning. | Yana Stoyanova, Maryam Tavakol |
| 2024 | IDEAL | Model-Based Meta-reinforcement Learning for Hyperparameter Optimization. | Jeroen Albrechts, Hugo M. Martin, Maryam Tavakol |
| 2023 | AAAI | Toward Robust Uncertainty Estimation with Random Activation Functions. | Yana Stoyanova, Soroush Ghandi, Maryam Tavakol |
| 2022 | IDA | MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation. | Huiyao Wu, Maryam Tavakol |
| 2021 | ICDE | An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. | Amal Saadallah, Maryam Tavakol, Katharina Morik |
| 2020 | ECAI | Distantly Supervised Question Parsing. | Hamid Zafar, Maryam Tavakol, Jens Lehmann |
| 2020 | SIGIR | Fair Classification with Counterfactual Learning. | Maryam Tavakol |
| 2019 | KI | Personalized Transaction Kernels for Recommendation Using MCTS. | Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Frnkranz |
| 2018 | IDA | MDP-based Itinerary Recommendation using Geo-Tagged Social Media. | Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld |
| 2014 | RecSys | Factored MDPs for detecting topics of user sessions. | Maryam Tavakol, Ulf Brefeld |
| 2012 | ICONIP | A Distributed Q-Learning Approach for Variable Attention to Multiple Critics. | Maryam Tavakol, Majid Nili Ahmadabadi, Maryam S. Mirian, Masoud Asadpour |