| An initialization strategy for addressing barren plateaus in parametrized quantum circuits E Grant, L Wossnig, M Ostaszewski, M Benedetti Quantum 3, 214, 2019 | 425 | 2019 |
| Structure optimization for parameterized quantum circuits M Ostaszewski, E Grant, M Benedetti Quantum 5, 391, 2021 | 249* | 2021 |
| Reinforcement learning for optimization of variational quantum circuit architectures M Ostaszewski, LM Trenkwalder, W Masarczyk, E Scerri, V Dunjko Advances in Neural Information Processing Systems 34, 18182-18194, 2021 | 122 | 2021 |
| Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling W Masarczyk, P Głomb, B Grabowski, M Ostaszewski Remote Sensing 12 (16), 2653, 2020 | 25* | 2020 |
| Quantum image classification using principal component analysis M Ostaszewski, P Sadowski, P Gawron Theoretical and Applied Informatics 27 (1), 1-12, 2015 | 21 | 2015 |
| Approximation of quantum control correction scheme using deep neural networks M Ostaszewski, JA Miszczak, L Banchi, P Sadowski Quantum Information Processing 18 (5), 126, 2019 | 20 | 2019 |
| Lively quantum walks on cycles P Sadowski, JA Miszczak, M Ostaszewski Journal of Physics A: Mathematical and Theoretical 49 (37), 375302, 2016 | 16 | 2016 |
| QSWalk. jl: Julia package for quantum stochastic walks analysis A Glos, JA Miszczak, M Ostaszewski Computer Physics Communications 235, 414-421, 2019 | 12 | 2019 |
| Superdiffusive quantum stochastic walk definable of arbitrary directed graph K Domino, A Glos, M Ostaszewski QUANTUM INFORMATION & COMPUTATION 17 (11-12), 973-986, 2017 | 11* | 2017 |
| Properties of quantum stochastic walks from the asymptotic scaling exponent K Domino, A Glos, M Ostaszewski, Ł Pawela, P Sadowski Quantum Information & Computation 18 (3-4), 181–197, 2016 | 11* | 2016 |
| The Effectiveness of World Models for Continual Reinforcement Learning S Kessler, M Ostaszewski, MP Bortkiewicz, M Żarski, M Wolczyk, ... Conference on Lifelong Learning Agents, 184-204, 2023 | 10* | 2023 |
| Curriculum reinforcement learning for quantum architecture search under hardware errors YJ Patel, A Kundu, M Ostaszewski, X Bonet-Monroig, V Dunjko, O Danaci The Twelfth International Conference on Learning Representations., https …, 2024 | 9 | 2024 |
| Limiting properties of stochastic quantum walks on directed graphs A Glos, JA Miszczak, M Ostaszewski Journal of Physics A: Mathematical and Theoretical 51 (3), 035304, 2017 | 9 | 2017 |
| The Tunnel Effect: Building Data Representations in Deep Neural Networks W Masarczyk, M Ostaszewski, E Imani, R Pascanu, P Miłoś, T Trzciński Advances in Neural Information Processing Systems 36 (2024)., 2023 | 7 | 2023 |
| Geometrical versus time-series representation of data in quantum control learning M Ostaszewski, JA Miszczak, P Sadowski Journal of Physics A: Mathematical and Theoretical 53 (19), 195301, 2020 | 5* | 2020 |
| Enhancing variational quantum state diagonalization using reinforcement learning techniques A Kundu, P Bedełek, M Ostaszewski, O Danaci, YJ Patel, V Dunjko, ... New Journal of Physics 26 (1), 013034, 2024 | 4* | 2024 |
| Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem M Wołczyk, B Cupiał, M Ostaszewski, M Bortkiewicz, M Zając, R Pascanu, ... ICML 2024, 2024 | 2* | 2024 |
| Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning M Nauman, M Bortkiewicz, M Ostaszewski, P Miłoś, T Trzciński, M Cygan ICML 2024, 2024 | 1 | 2024 |
| Curriculum reinforcement learning for optimization of variational quantum circuit architectures M Ostaszewski, W Masarczyk, L Trenkwalder, E Scerri, V Dunjko NeurIPS 2020, Third Workshop on Machine Learning and the Physical Sciences, 2020 | 1 | 2020 |
| Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control M Nauman, M Ostaszewski, K Jankowski, P Miłoś, M Cygan arXiv preprint arXiv:2405.16158, 2024 | | 2024 |
Marcello BenedettiQuantinuumVerified email at quantinuum.com
