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Compositional Sparsity of Learnable Functions. (2024).
CBMM-Memo-145.pdf (1.25 MB)
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Cervelli menti algoritmi. 272 (Sperling & Kupfer, 2023). at <https://www.sperling.it/libri/cervelli-menti-algoritmi-marco-magrini>
Feature learning in deep classifiers through Intermediate Neural Collapse. (2023).
Feature_Learning_memo.pdf (2.16 MB)
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The Janus effects of SGD vs GD: high noise and low rank. (2023).
Updated with appendix showing empirically that the main results extend to deep nonlinear networks (2.95 MB)
Small updates...typos... (616.82 KB)
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Norm-Based Generalization Bounds for Compositionally Sparse Neural Networks. (2023).
Norm-based bounds for convnets.pdf (1.2 MB)
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Norm-based Generalization Bounds for Sparse Neural Networks. NeurIPS 2023 (2023). at <https://proceedings.neurips.cc/paper_files/paper/2023/file/8493e190ff1bbe3837eca821190b61ff-Paper-Conference.pdf>
NeurIPS-2023-norm-based-generalization-bounds-for-sparse-neural-networks-Paper-Conference.pdf (577.69 KB)
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PCA as a defense against some adversaries. (2022).
CBMM-Memo-135.pdf (2.58 MB)
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Representation Learning in Sensory Cortex: a theory. IEEE Access 1 - 1 (2022). doi:10.1109/ACCESS.2022.3208603
Representation_Learning_in_Sensory_Cortex_a_theory.pdf (1.17 MB)
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Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows. IEEE Signal Processing Magazine 38, 89 - 119 (2021).
Distribution of Classification Margins: Are All Data Equal?. (2021).
CBMM Memo 115.pdf (9.56 MB)
arXiv version (23.05 MB)
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Dynamics and Neural Collapse in Deep Classifiers trained with the Square Loss. (2021).
v1.0 (4.61 MB)
v1.4corrections to generalization section (5.85 MB)
v1.7Small edits (22.65 MB)
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The Effects of Image Distribution and Task on Adversarial Robustness. (2021).
CBMM_Memo_116.pdf (5.44 MB)
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Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN. NeurIPS 2021 (2021). at <https://nips.cc/Conferences/2021/Schedule?showEvent=21868>
From Associative Memories to Powerful Machines. (2021).
v1.0 (1.01 MB)
v1.3Section added August 6 on self attention (3.9 MB)
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From Marr’s Vision to the Problem of Human Intelligence. (2021).
CBMM-Memo-118.pdf (362.19 KB)
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An analysis of training and generalization errors in shallow and deep networks. Neural Networks 121, 229 - 241 (2020).
Biologically Inspired Mechanisms for Adversarial Robustness. (2020).
CBMM_Memo_110.pdf (3.14 MB)
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Complexity Control by Gradient Descent in Deep Networks. Nature Communications 11, (2020).
s41467-020-14663-9.pdf (431.68 KB)
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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)
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Dreaming with ARC. Learning Meets Combinatorial Algorithms workshop at NeurIPS 2020 (2020).
CBMM Memo 113.pdf (1019.64 KB)
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Explicit regularization and implicit bias in deep network classifiers trained with the square loss. arXiv (2020). at <https://arxiv.org/abs/2101.00072>
For interpolating kernel machines, the minimum norm ERM solution is the most stable. (2020).
CBMM_Memo_108.pdf (1015.14 KB)
Better bound (without inequalities!) (1.03 MB)
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