Tomek Korbak bio photo

Tomek Korbak

machine learning,
cognitive science,

Email Twitter Scholar LinkedIn GitHub


Journal papers

  1. Korbak, T. (2019). Computational enactivism under the free energy principle. Synthese.
  2. Korbak, T. (2019). Unsupervised learning and the natural origins of content. In review.
  3. Korbak, T. (2015). Scaffolded minds and the evolution of content in signaling pathways. Studies in Logic, Grammar and Rhetoric, 41 (54).
  4. Korbak, T. (2015). Apercepcja transcendentalna w kantowskim modelu epigenezy czystego rozumu. Przegląd Filozoficzny – Nowa seria, 3 (95).

Conference talks, posters and proceedings

  1. Korbak, T. (2018). Evaluating the scalability of deep active inference. 7th Peripatetic Conference on Modeling Cognitive Systems.
  2. Korbak, T. & Żak, P. (2017). Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. In Z. Vetulani and P. Paroubek (eds.) Proceedings of the 8th Language & Technology Conference.
  3. Korbak, T. (2017). Free energy principle as a model of biological and cognitive self-organization. 6th Peripatetic Conference on Modeling Cognitive Systems.