Publication
Found 11 results
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] Filters: Author is Tomaso Poggio and First Letter Of Title is C [Clear All Filters]
Compositional sparsity of learnable functions. Bulletin of the American Mathematical Society 61, 438-456 (2024).
Compositional Sparsity of Learnable Functions. (2024).
This is an update of the AMS paper (230.72 KB)
This is an update of the AMS paper (230.72 KB) Cervelli menti algoritmi. 272 (Sperling & Kupfer, 2023). at <https://www.sperling.it/libri/cervelli-menti-algoritmi-marco-magrini>
Complexity Control by Gradient Descent in Deep Networks. Nature Communications 11, (2020). s41467-020-14663-9.pdf (431.68 KB)
s41467-020-14663-9.pdf (431.68 KB) CUDA-Optimized real-time rendering of a Foveated Visual System. Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop at NeurIPS 2020 (2020). at <https://arxiv.org/abs/2012.08655> Foveated_Drone_SVRHM_2020.pdf (13.44 MB) v1 (12/15/2020) (14.7 MB)
Foveated_Drone_SVRHM_2020.pdf (13.44 MB) v1 (12/15/2020) (14.7 MB) Can Deep Neural Networks Do Image Segmentation by Understanding Insideness?. (2018). CBMM-Memo-095.pdf (1.96 MB)
CBMM-Memo-095.pdf (1.96 MB) Classical generalization bounds are surprisingly tight for Deep Networks. (2018). CBMM-Memo-091.pdf (1.43 MB) CBMM-Memo-091-v2.pdf (1.88 MB)
CBMM-Memo-091.pdf (1.43 MB) CBMM-Memo-091-v2.pdf (1.88 MB) Compression of Deep Neural Networks for Image Instance Retrieval. (2017). at <https://arxiv.org/abs/1701.04923> 1701.04923.pdf (614.33 KB)
1701.04923.pdf (614.33 KB)