16 citations · 24 across the 9 of their papers we have counts for
3 papers · 1 filter
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
Gonzalo Uribarri, Federico Barone, Alessio Ansuini +1
Time Series Classification (TSC) is essential in fields like medicine, environmental science, and finance, enabling tasks such as disease diagnosis, anomaly detection, and stock pr…
Emergent representations in networks trained with the Forward-Forward algorithm
Niccolò Tosato, Lorenzo Basile, Emanuele Ballarin +3
The Backpropagation algorithm has often been criticised for its lack of biological realism. In an attempt to find a more biologically plausible alternative, the recently introduced…
The geometry of hidden representations of large transformer models
Lucrezia Valeriani, Diego Doimo, Francesca Cuturello +3
Large transformers are powerful architectures used for self-supervised data analysis across various data types, including protein sequences, images, and text. In these models, the…