student of science, University of Trento and FBK

francescopaissan at gmail dot com
I am interested in signal processing, machine learning, and neural network interpretability. In FBK I work on designing efficient neural network and training paradigms. Following my research internship at Mila, and while I was there, I am working on interpretability techniques for neural networks.




News

Publications

Show me in Google Scholar
The Front-End electronics for the liquid Argon instrumentation of the LEGEND-200 experiment
I. Abritta Costa, A. Budano, N. Burlac, F. Paissan, G. Salamanna and D. Tagnani
[link]
XiNet: Efficient Neural Networks for tinyML
A Ancilotto*, F Paissan*, E Farella
[link]
Improving latency performance trade-off in keyword spotting applications at the edge
F Paissan, AM Sahabdeen, A Ancilotto, E Farella
[link]
Posthoc Interpretation via Quantization
F Paissan*, C Subakan*, M Ravanelli
[link]
PhiNet-GAN: Bringing real-time face swapping to embedded devices
A Ancilotto, F Paissan, E Farella
[link]
Scaling strategies for on-device low-complexity source separation with Conv-Tasnet
MN Ali, F Paissan, D Falavigna, A Brutti
[link]
XimSwap: many-to-many face swapping for TinyML
A Ancilotto, F Paissan, E Farella
[link]
PhiNets: a scalable backbone for low-power AI at the edge
F Paissan*, A Ancilotto*, E Farella
[link]
Interpretable CNN for single-channel artifacts detection in raw EEG signals
F Paissan, VP Kumaravel, E Farella
[link]
Low-complexity acoustic scene classification in dcase 2022 challenge
I Martín-Morató, F Paissan, A Ancilotto, T Heittola, A Mesaros, E Farella, ...
[link]
Scalable neural architectures for end-to-end environmental sound classification
F Paissan, A Ancilotto, A Brutti, E Farella
[link]
Responsible AI at the edge: towards privacy-preserving smart cities
L Zanella, Y Wang, N Dall'Asen, A Ancilotto, F Paissan, E Ricci, E Farella, ...
[link]
On the role of smart vision sensors in energy-efficient computer vision at the edge
A Ancilotto, F Paissan, E Farella
[link]
Towards a domain-specific neural network approach for EEG bad channel detection
V Kumaravel, F Paissan, E Farella
[link]
Marvel: Multimodal extreme scale data analytics for smart cities environments
D Bajovic, A Bakhtiarnia, G Bravos, A Brutti, F Burkhardt, D Cauchi, ...
[link]
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT
F Paissan, M Gottardi, E Farella
[link]
People/car classification using an ultra-low-power smart vision sensor
F Paissan, G Cerutti, M Gottardi, E Farella
[link]
Exploiting general-purpose in-game behaviours to predict players churn in gameful systems
E Loria, F Paissan, A Marconi
[link]

Talks and tutorials


Open source