| 2025 | ICLR | On the Relation between Trainability and Dequantization of Variational Quantum Learning Models. | Elies Gil-Fuster, Casper Gyurik, Adrin Prez-Salinas, Vedran Dunjko |
| 2025 | ICML | Limitations of measure-first protocols in quantum machine learning. | Casper Gyurik, Riccardo Molteni, Vedran Dunjko |
| 2024 | ICLR | Curriculum reinforcement learning for quantum architecture search under hardware errors. | Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci |
| 2023 | QCE | Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations. | Alice Barthe, Michele Grossi, Jordi Tura, Vedran Dunjko |
| 2023 | QCE | Application of quantum-inspired generative models to small molecular datasets. | Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bck, Vedran Dunjko |
| 2023 | QCE | Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. | Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bck, Hao Wang |
| 2022 | DIS | Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. | Charles Moussa, Jan N. van Rijn, Thomas Bck, Vedran Dunjko |
| 2017 | SMC | Advances in quantum reinforcement learning. | Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel |
| 2016 | ESANN | Enhanced learning for agents in quantum-accessible environments. | Jacob M. Taylor, Hans J. Briegel, Vedran Dunjko |
| 2014 | ASIACRYPT | Composable Security of Delegated Quantum Computation. | Vedran Dunjko, Joseph F. Fitzsimons, Christopher Portmann, Renato Renner |