Publications
2023
Entropic Trust Region for Densest Crystallographic Symmetry Group Packings.
Torda, M., Goulermas, J. Y., Púcek, R., & Kurlin, V. (2023). Entropic Trust Region for Densest Crystallographic Symmetry Group Packings.. SIAM J. Sci. Comput., 45. doi:10.1137/22M147983X
Maximally dense crystallographic symmetry group packings for molecular crystal structure prediction acceleration.
Torda, M. (2023, June 13). Maximally dense crystallographic symmetry group packings for molecular crystal structure prediction acceleration..
2022
Densest plane group packings of regular polygons
Torda, M., Goulermas, J. Y., Kurlin, V., & Day, G. M. (2022). Densest plane group packings of regular polygons. PHYSICAL REVIEW E, 106(5). doi:10.1103/PhysRevE.106.054603
2018
Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability
Torda, M., & Farkas, A. I. (2018). Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability. In 2018 International Joint Conference on Neural Networks (IJCNN) (pp. 1-6). IEEE. doi:10.1109/ijcnn.2018.8489152
Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability
Torda, M., & Farkas, I. (2018). Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability. In 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (pp. 117-122). Retrieved from https://www.webofscience.com/