Daniel Vasata

According to our database, Daniel Vasata authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LIMESS Sustainability Lab: Towards-ML-for-OPF GitHub Repository.

Marek Miltner, Daniel Vasata, Magda Friedjungová, Nishant Gadde, Ondrej Stogl, Ram Rajagopal, Oldrich Starý

Dataset, April, 2025

LIMESS Sustainability Lab: Towards-ML-for-OPF GitHub Repository.

Marek Miltner, Daniel Vasata, Magda Friedjungová, Nishant Gadde, Ondrej Stogl, Ram Rajagopal, Oldrich Starý

Dataset, April, 2025

Towards Real-Time Machine Learning Approximations of Ac Optimal Power Flow.

Marek Miltner, Daniel Vasata, Magda Friedjungová, Nishant Gadde, Ondrej Stogl, Oldrich Starý, Ram Rajagopal

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024

Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas.

Marek Miltner, Jakub Zíka, Daniel Vasata, Artem Bryksa, Magda Friedjungová, Ondrej Stogl, Ram Rajagopal, Oldrich Starý

CoRR, 2024

Investigation into the Training Dynamics of Learned Optimizers.

Jan Sobotka, Petr Simánek, Daniel Vasata

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model.

Ladislav Floris, Daniel Vasata

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Machine Learning Metrics for Network Datasets Evaluation.

Dominik Soukup, Daniel Uhrícek, Daniel Vasata, Tomás Cejka

Proceedings of the ICT Systems Security and Privacy Protection, 2023

2022

Evacuation trials from a double-deck electric train unit: Experimental data and sensitivity analysis.

Hana Najmanová, Veronika Pesková, Lukás Kuklík, Marek Bukácek, Pavel Hrabák, Daniel Vasata

CoRR, 2022

Learning to Optimize with Dynamic Mode Decomposition.

Petr Simánek, Daniel Vasata, Pavel Kordík

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Image Inpainting Using Wasserstein Generative Adversarial Imputation Network.

Daniel Vasata, Tomás Halama, Magda Friedjungová

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network.

Tomás Chobola, Daniel Vasata, Pavel Kordík

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020

Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network.

Magda Friedjungová, Daniel Vasata, Maksym Balatsko, Marcel Jirina

Proceedings of the Computational Science - ICCS 2020, 2020

Unsupervised Latent Space Translation Network.

Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Missing Features Reconstruction and Its Impact on Classification Accuracy.

Magda Friedjungová, Marcel Jirina, Daniel Vasata

Proceedings of the Computational Science - ICCS 2019, 2019