Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Aleksandra Gruca; Federico Serva; Llorenç Lliso; Pilar Rípodas; Xavier Calbet; Pedro Herruzo; Jirí Pihrt; Rudolf Raevskiy; Petr Simánek; Matej Choma; Yang Li; Haiyu Dong; et al. (NeurIPS (Competition and Demos), 2021)

Learning to Optimize with Dynamic Mode Decomposition. - Petr Simánek; Daniel Vasata; Pavel Kordík (IJCNN, 2022)

Spatiotemporal Prediction of Vehicle Movement Using Artificial Neural Networks. - Jirí Pihrt; Petr Simánek (IV, 2022)

WeatherFusionNet: Predicting Precipitation from Satellite Data. - Jirí Pihrt; Rudolf Raevskiy; Petr Simánek; Matej Choma (CoRR, 2022)

Improving deep learning precipitation nowcasting by using prior knowledge. - Matej Choma; Petr Simánek; Jakub Bartel (CoRR, 2023)

Investigation into Training Dynamics of Learned Optimizers (Student Abstract). - Jan Sobotka; Petr Simánek (AAAI, 2024)

Combining Local and Global Weather Data to Improve Forecast Accuracy for Agriculture. - Frantisek Koutenský; Jirí Pihrt; Miroslav Cepek; Vojtech Rybár; Petr Simánek; Michal Kepka; Karel Jedlicka; Karel Charvát (FedCSIS (Communication Papers), 2024)

AI-Based Spatiotemporal Crop Monitoring by Cloud Removal in Satellite Images. - Jirí Pihrt; Petr Simánek; Alexander Kovalenko; Jirí Kvapil; Karel Charvát (FedCSIS, 2024)

Investigation into the Training Dynamics of Learned Optimizers. - Jan Sobotka; Petr Simánek; Daniel Vasata (ICAART (2), 2024)

Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models. - Jan-Matyás Martinu; Petr Simánek (ICANN (9), 2024)

Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models. - Jan Martinu; Petr Simánek (CoRR, 2024)

Overcoming Long Inference Time of Nearest Neighbors Analysis in Regression and Uncertainty Prediction. - Frantisek Koutenský; Petr Simánek; Miroslav Cepek; Alexander Kovalenko (SN Comput. Sci., 2024)