Edoardo Vecchi
http://usi.to/nw6
Publications
Journal Article (6)
- Vecchi E., Bassetti D., Graziato F., Pospisil L., Horenko I. (forthcoming) Gauge-optimal approximate learning for small data classification problems, Neural Computation:1-45
- Vecchi E., Kardoš J., Lechekhab M., Waechter A., Horenko I., Schenk O. (2024) Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning, Journal of Computational Science:1-30
- 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
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
