| Brain Captioning: Decoding human brain activity into images and text M Ferrante, F Ozcelik, T Boccato, R VanRullen, N Toschi arXiv preprint arXiv:2305.11560, 2023 | 11 | 2023 |
| Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli M Ferrante, T Boccato, N Toschi arXiv preprint arXiv:2212.06726, 2022 | 10 | 2022 |
| Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization T Boccato, A Testolin, M Zorzi Entropy 23 (7), 857, 2021 | 4 | 2021 |
| Multimodal decoding of human brain activity into images and text M Ferrante, T Boccato, F Ozcelik, R VanRullen, N Toschi UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | 3 | 2023 |
| In the Depths of Hyponymy: A Step towards Lifelong Learning T Boccato, T Patten, M Vincze, S Ghidoni Proceedings of the International Conference on Autonomic and Autonomous …, 2020 | 3 | 2020 |
| Through their eyes: multi-subject Brain Decoding with simple alignment techniques M Ferrante, T Boccato, F Ozcelik, R VanRullen, N Toschi Imaging Neuroscience, 2024 | 1 | 2024 |
| Towards neural foundation models for vision: Aligning EEG, MEG and fMRI representations to perform decoding, encoding and modality conversion M Ferrante, T Boccato, N Toschi ICLR 2024 Workshop on Representational Alignment, 2024 | 1 | 2024 |
| 4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs T Boccato, M Ferrante, A Duggento, N Toschi Neurocomputing 568, 127058, 2024 | 1 | 2024 |
| Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models M Ferrante, T Boccato, S Bargione, N Toschi arXiv preprint arXiv:2309.07149, 2023 | 1 | 2023 |
| VAESim: A probabilistic approach for self-supervised prototype discovery M Ferrante, T Boccato, S Spasov, A Duggento, N Toschi Image and Vision Computing 137, 104746, 2023 | 1 | 2023 |
| Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer M Inglese, M Ferrante, A Duggento, T Boccato, N Toschi IEEE Transactions on Radiation and Plasma Medical Sciences, 2023 | 1 | 2023 |
| BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks M Ferrante, T Boccato, N Toschi arXiv preprint arXiv:2209.13096, 2022 | 1 | 2022 |
| Contrastive learning for unsupervised medical image clustering and reconstruction M Ferrante, T Boccato, S Spasov, A Duggento, N Toschi arXiv preprint arXiv:2209.12005, 2022 | 1 | 2022 |
| Decoding EEG signals of visual brain representations with a CLIP based knowledge distillation M Ferrante, T Boccato, S Bargione, N Toschi ICLR 2024 Workshop on Learning from Time Series For Health, 2024 | | 2024 |
| Beyond multilayer perceptrons: Investigating complex topologies in neural networks T Boccato, M Ferrante, A Duggento, N Toschi Neural Networks 171, 215-228, 2024 | | 2024 |
| Optimizing Genetically-Driven Synaptogenesis T Boccato, M Ferrante, N Toschi arXiv preprint arXiv:2402.07242, 2024 | | 2024 |
| Towards Generalized Brain Decoding of visual stimuli: Cross-Subject and Dataset Perspectives with a simple alignment technique M Ferrante, T Boccato, F Ozcelik, R VanRullen, N Toschi | | 2024 |
| Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification M Ferrante, T Boccato, N Toschi Frontiers in Neuroinformatics 18, 2024 | | 2024 |
| Linking Brain Signals to Visual Concepts: CLIP based knowledge transfer for EEG Decoding and visual stimuli reconstruction M Ferrante, T Boccato, S Bargione, N Toschi 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in …, 2023 | | 2023 |
| Decoding Semantic Content of Visual Stimuli from BOLD fMRI Data M Ferrante, T Boccato, N Toschi 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in …, 2023 | | 2023 |
