Giorgia Dellaferrera

According to our database, Giorgia Dellaferrera authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera

CoRR, 2023

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, Michele Pizzochero, Hanspeter Pfister, Gabriel Kreiman

CoRR, 2022

Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons.

Giorgia Dellaferrera, Toshitake Asabuki, Tomoki Fukai

CoRR, 2022

Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass.

Giorgia Dellaferrera, Gabriel Kreiman

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer.

Giorgia Dellaferrera, Stanislaw Wozniak, Giacomo Indiveri, Angeliki Pantazi, Evangelos Eleftheriou

CoRR, 2021

2020

Spiking Neural Networks Trained With Backpropagation for Low Power Neuromorphic Implementation of Voice Activity Detection.

Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Bin Encoding Training of a Spiking Neural Network Based Voice Activity Detection.

Giorgia Dellaferrera, Flavio Martinelli, Milos Cernak

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020