Francesco d'Amore — accepted AI-conference papers

2023

Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets

Arthur da Cunha, Francesco D'Amore, Emanuele Natale

NeurIPS 2023poster

The Strong Lottery Ticket Hypothesis (SLTH) states that randomly-initialised neural networks likely contain subnetworks that perform well without any training. Although unstructured pruning has been extensively studied in this context, its structured counterpart, which can deliver significant comput…

Cited by 2 Source ↗PDF ↗Scholar ↗

2022

Planning with Biological Neurons and Synapses

Francesco d'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou

AAAI 2022technical

We revisit the planning problem in the blocks world, and we implement a known heuristic for this task. Importantly, our implementation is biologically plausible, in the sense that it is carried out exclusively through the spiking of neurons. Even though much has been accomplished in the blocks world…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗