Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting

no code implementations • 17 Oct 2022 • Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy

Global warming made the Arctic available for marine operations and created demand for reliable operational sea ice forecasts to make them safe.

When, Why, and Which Pretrained GANs Are Useful?

1 code implementation • ICLR 2022 • Timofey Grigoryev, Andrey Voynov, Artem Babenko

The literature has proposed several methods to finetune pretrained GANs on new datasets, which typically results in higher performance compared to training from scratch, especially in the limited-data regime.

Category-Learning with Context-Augmented Autoencoder

no code implementations • 10 Oct 2020 • Denis Kuzminykh, Laida Kushnareva, Timofey Grigoryev, Alexander Zatolokin

Finding an interpretable non-redundant representation of real-world data is one of the key problems in Machine Learning.

Data Augmentation