Tommaso Boccato

28 papers C 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrainWhisperer: Leveraging Large-Scale ASR Models for Neural Speech Decoding. CoRR Tommaso Boccato, Michal Olak, Matteo Ferrante
2026	J	`jnl`	Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding. CoRR Michal Olak, Tommaso Boccato, Matteo Ferrante
2026	J	`jnl`	Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion. Inf. Fusion Matteo Ferrante, Tommaso Boccato, Grigorii Rashkov, Nicola Toschi
2025	C	`conf`	Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing. ISCAS Tommaso Boccato, Dmitrii Zendrikov, Nicola Toschi, Giacomo Indiveri
2025	—	`conf`	Training Neural Networks by Optimizing Neuron Positions. Living Machines Laura Erb, Tommaso Boccato, Alexandru Vasilache, Jürgen Becker, Nicola Toschi
2025	J	`jnl`	Training Neural Networks by Optimizing Neuron Positions. CoRR Laura Erb, Tommaso Boccato, Alexandru Vasilache, Jürgen Becker, Nicola Toschi
2024	J	`jnl`	4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. Neurocomputing Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2024	J	`jnl`	Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2024	J	`jnl`	Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models. Comput. Biol. Medicine Matteo Ferrante, Tommaso Boccato, Stefano Bargione, Nicola Toschi
2024	J	`jnl`	Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification. Frontiers Neuroinformatics Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2024	J	`jnl`	Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing. CoRR Tommaso Boccato, Dmitrii Zendrikov, Nicola Toschi, Giacomo Indiveri
2024	J	`jnl`	Optimizing Genetically-Driven Synaptogenesis. CoRR Tommaso Boccato, Matteo Ferrante, Nicola Toschi
2024	J	`jnl`	Towards Neural Foundation Models for Vision: Aligning EEG, MEG, and fMRI Representations for Decoding, Encoding, and Modality Conversion. CoRR Matteo Ferrante, Tommaso Boccato, Grigorii Rashkov, Nicola Toschi
2023	J	`jnl`	Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks. CoRR Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2023	J	`jnl`	Brain Captioning: Decoding human brain activity into images and text. CoRR Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi
2023	—	`conf`	Breaking the Structure of Multilayer Perceptrons with Complex Topologies. TAG-ML Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2023	—	`conf`	Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi
2023	J	`jnl`	Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models. CoRR Matteo Ferrante, Tommaso Boccato, Stefano Bargione, Nicola Toschi
2023	—	`conf`	Multimodal decoding of human brain activity into images and text. UniReps Matteo Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin VanRullen, Nicola Toschi
2023	J	`jnl`	Through their eyes: multi-subject Brain Decoding with simple alignment techniques. CoRR Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2023	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs. CoRR Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks. CoRR Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2022	J	`jnl`	Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli. CoRR Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2022	—	`conf`	Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. EMBC Marianna Inglese, Andrea Duggento, Tommaso Boccato, Matteo Ferrante, Nicola Toschi
2022	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2021	J	`jnl`	Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization. Entropy Tommaso Boccato, Alberto Testolin, Marco Zorzi