Illia Horenko
http://usi.to/kvn
Publications
Journal Article (5)
- Vecchi E., Berra G., Albrecht S., Gagliardini P., Horenko I. (2023) Entropic approximate learning for financial decision-making in the small data regime, Research in International Business and Finance, 65:101958. ISSN 0275-5319
- Vecchi E., Pospíšil L., Albrecht S., O'Kane T. J., Horenko I. (2022) eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems, Neural Computation, 34 (5):1220-1255
- Horenko I., Pospíšil L., Vecchi E., Albrecht S., Gerber A., Rehbock B., Stroh A., Gerber S. (2022) Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography, Journal of Imaging, 8 (6):156
- Horenko I., Vecchi E., Kardoš J., Schenk O., Waechter A., O’Kane T. ., Gagliardini P., Gerber S. (2022) On cheap entropy-sparsified regression learning, Proceedings of the National Academy of Sciences:1-12
- Horenko I., Vecchi E., Kardoš J., Schenk O., Waechter A., O’Kane T. ., Gagliardini P., Gerber S. (2022) On cheap entropy-sparsified regression learning, Proceedings of the National Academy of Sciences:1-12
Working paper (1)
- Albrecht S., Vandevelde J. R., Vecchi E., Berra G., Bassetti D., Stüttgen M. C., Luhmann H. J., Horenko I. (2023) Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization
