Dunjko, Vedran

8 publications

ICLR 2026 Quantum Machine Learning Advantages Beyond Hardness of Evaluation Riccardo Molteni, Simon Callum Marshall, Vedran Dunjko

ICML 2025 Limitations of Measure-First Protocols in Quantum Machine Learning Casper Gyurik, Riccardo Molteni, Vedran Dunjko

ICLR 2025 On the Relation Between Trainability and Dequantization of Variational Quantum Learning Models Elies Gil-Fuster, Casper Gyurik, Adrian Perez-Salinas, Vedran Dunjko

ICLR 2024 Curriculum Reinforcement Learning for Quantum Architecture Search Under Hardware Errors Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci

MLJ 2024 Hyperparameter Importance and Optimization of Quantum Neural Networks Across Small Datasets Charles Moussa, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn

ECML-PKDD 2024 Reliable Classifications with Guaranteed Confidence Using the Dempster-Shafer Theory of Evidence Marie C. Kempkes, Vedran Dunjko, Evert P. L. van Nieuwenburg, Jakob Spiegelberg

NeurIPS 2021 Parametrized Quantum Policies for Reinforcement Learning Sofiene Jerbi, Casper Gyurik, Simon Marshall, Hans Briegel, Vedran Dunjko

NeurIPS 2021 Reinforcement Learning for Optimization of Variational Quantum Circuit Architectures Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko