A Bin Encoding Training of a Spiking Neural Network Based Voice Activity Detection. - Giorgia Dellaferrera; Flavio Martinelli; Milos Cernak (ICASSP, 2020)

Spiking Neural Networks Trained With Backpropagation for Low Power Neuromorphic Implementation of Voice Activity Detection. - Flavio Martinelli; Giorgia Dellaferrera; Pablo Mainar; Milos Cernak (ICASSP, 2020)

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer. - Giorgia Dellaferrera; Stanislaw Wozniak; Giacomo Indiveri; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2021)

Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. - Giorgia Dellaferrera; Gabriel Kreiman (ICML, 2022)

Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons. - Giorgia Dellaferrera; Toshitake Asabuki; Tomoki Fukai (CoRR, 2022)

Human or Machine? Turing Tests for Vision and Language. - Mengmi Zhang; Giorgia Dellaferrera; Ankur Sikarwar; Marcelo Armendáriz; Noga Mudrik; Prachi Agrawal; Spandan Madan; Andrei Barbu; Haochen Yang; Tanishq Kumar; Meghna Sadwani; Stella Dellaferrera; et al. (CoRR, 2022)

Efficient Biologically Plausible Adversarial Training. - Matilde Tristany Farinha; Thomas Ortner; Giorgia Dellaferrera; Benjamin F. Grewe; Angeliki Pantazi (CoRR, 2023)

Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. - Ravi Francesco Srinivasan; Francesca Mignacco; Martino Sorbaro 001; Maria Refinetti; Avi Cooper; Gabriel Kreiman; Giorgia Dellaferrera (ICLR, 2024)

Can Machines Philosophize? - Michele Pizzochero; Giorgia Dellaferrera (CoRR, 2025)