Daniel Vasata

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Classification Accuracy

Top Venues

Publications

Ladislav Floris, Daniel Vasata
Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model. AIME (1) (2024)
Jan Sobotka, Petr Simánek, Daniel Vasata
Investigation into the Training Dynamics of Learned Optimizers. ICAART (2) (2024)
Jan Sobotka, Petr Simánek, Daniel Vasata
Investigation into the Training Dynamics of Learned Optimizers. CoRR (2023)
Dominik Soukup, Daniel Uhrícek, Daniel Vasata, Tomás Cejka
Machine Learning Metrics for Network Datasets Evaluation. SEC (2023)
Hana Najmanová, Veronika Pesková, Lukás Kuklík, Marek Bukácek, Pavel Hrabák, Daniel Vasata
Evacuation trials from a double-deck electric train unit: Experimental data and sensitivity analysis. CoRR (2022)
Petr Simánek, Daniel Vasata, Pavel Kordík
Learning to Optimize with Dynamic Mode Decomposition. CoRR (2022)
Petr Simánek, Daniel Vasata, Pavel Kordík
Learning to Optimize with Dynamic Mode Decomposition. IJCNN (2022)
Daniel Vasata, Tomás Halama, Magda Friedjungová
Image Inpainting Using Wasserstein Generative Adversarial Imputation Network. ICANN (2) (2021)
Tomás Chobola, Daniel Vasata, Pavel Kordík
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. CoRR (2021)
Tomás Chobola, Daniel Vasata, Pavel Kordík
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. MetaDL@AAAI (2021)
Daniel Vasata, Tomás Halama, Magda Friedjungová
Image Inpainting Using Wasserstein Generative Adversarial Imputation Network. CoRR (2021)
Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina
Unsupervised Latent Space Translation Network. CoRR (2020)
Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina
Unsupervised Latent Space Translation Network. ESANN (2020)
Magda Friedjungová, Daniel Vasata, Maksym Balatsko, Marcel Jirina
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network. ICCS (4) (2020)
Magda Friedjungová, Daniel Vasata, Maksym Balatsko, Marcel Jirina
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network. CoRR (2020)
Magda Friedjungová, Daniel Vasata, Marcel Jirina
Missing Features Reconstruction and Its Impact on Classification Accuracy. CoRR (2019)
Magda Friedjungová, Marcel Jirina, Daniel Vasata
Missing Features Reconstruction and Its Impact on Classification Accuracy. ICCS (3) (2019)