Solving optimization tasks in condensed matter. - Eliska Greplova (Nat. Mach. Intell., 2020)

Introduction to Machine Learning for the Sciences. - Titus Neupert; Mark H. Fischer; Eliska Greplova; Kenny Choo; Michael Denner (CoRR, 2021)

Modeling Neuronal Activity with Quantum Generative Adversarial Networks. - Vinicius Hernandes; Eliska Greplova (QCE, 2023)

Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report. - Justyna P. Zwolak; Jacob M. Taylor; Reed Andrews; Jared Benson; Garnett W. Bryant; Donovan Buterakos; Anasua Chatterjee; Sankar Das Sarma; Mark A. Eriksson; Eliska Greplova; Michael J. Gullans; Fabian Hader; et al. (CoRR, 2023)

Exploring Biological Neuronal Correlations with Quantum Generative Models. - Vinicius Hernandes; Eliska Greplova (CoRR, 2024)

Quantum resources of quantum and classical variational methods. - Thomas Spriggs; Arash Ahmadi; Bokai Chen; Eliska Greplova (Mach. Learn. Sci. Technol., 2025)

Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space. - Vinicius Hernandes; Thomas Spriggs; Saqar Khaleefah; Eliska Greplova (CoRR, 2025)