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Publication of the year

Gintarė Karolina Džiugaitė, PhD (McGill University / Google)

and publication:

Jiang, Y., Natekar, P., Sharma, M., Aithal, S. K., Kashyap, D., Subramanyam, N., Džiugaitė, K.,... & Bengio, S. Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. In NeurIPS 2020

Publication of the year (young researcher)

Kamilė Stankevičiūtė

Stankeviciute, K., M Alaa, A., & van der Schaar, M. (2021).Conformal Time-series Forecasting. NeurIPS 2021

Honorable mentions:

• Donatas Repečka (Biomatter Designs) and publication: Repecka, D., Jauniskis, V., Karpus, L., Rembeza, E., Rokaitis, I., Zrimec, J., ... & Zelezniak, A. (2021). Expanding functional protein sequence spaces using generative adversarial networks. Nature Machine Intelligence
• Justas Dauparas (University of Washington), Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., ... & Baker, D. (2021).Accurate prediction of protein structures and interactions using a three-track neural network. Science
• Gintarė Karolina Džiugaitė (McGill University / Google) Dziugaite, K., Kyle Hsu, Gharbieh., W, Arpino, G., Roy, D. On the role of data in PAC-Bayes. Proceedings of The 24th International Conference on Artificial Intelligence and Statistics
• Povilas Gudžius (Vilnius university) Gudžius, P., Kurasova, O., Darulis, V., & Filatovas, E. (2021). Deep learning-based object recognition in multispectral satellite imagery for real-time applications. Machine Vision and Applications