All Publications
2024
CBMM Memo No.
151
“On Generalization Bounds for Neural Networks with Low Rank Layers”. 2024. CBMM-Memo-151.pdf (697.31 KB) ,
CBMM Funded
CBMM Memo No.
150
“Formation of Representations in Neural Networks”. 2024. CBMM-Memo-150.pdf (4.03 MB) ,
CBMM Funded
CBMM Memo No.
149
“On the Power of Decision Trees in Auto-Regressive Language Modeling”. 2024. CBMM-Memo-149.pdf (2.11 MB) ,
CBMM Funded
CBMM Memo No.
148
“For HyperBFs AGOP is a greedy approximation to gradient descent”. 2024. CBMM-Memo-148.pdf (1.06 MB) ,
CBMM Funded
“Compositional sparsity of learnable functions”, Bulletin of the American Mathematical Society, vol. 61, pp. 438-456, 2024. ,
CBMM Funded
CBMM Memo No.
145
“Compositional Sparsity of Learnable Functions”. 2024. CBMM-Memo-145.pdf (1.25 MB) ,
CBMM Funded
“Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods”, Image and Vision Computing, vol. 142, p. 104894, 2024. ,
CBMM Related
“How does the primate brain combine generative and discriminative computations in vision?”, arXiv, 2024. ,
2023
CBMM Memo No.
144
“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) ,
CBMM Funded
“Norm-based Generalization Bounds for Sparse Neural Networks”, in NeurIPS 2023, New Orleans, 2023. NeurIPS-2023-norm-based-generalization-bounds-for-sparse-neural-networks-Paper-Conference.pdf (577.69 KB) ,
CBMM Funded
“Strong and Precise Modulation of Human Percepts via Robustified ANNs”, in NeurIPS 2023, 2023. ,
CBMM Funded
“How to Guess a Gradient”, arXiv, 2023. ,
CBMM Funded
CBMM Funded
Cervelli menti algoritmi. Sperling & Kupfer, 2023, p. 272. ,
CBMM Funded
CBMM Memo No.
143
“A Homogeneous Transformer Architecture”. 2023. CBMM-Memo-143.pdf (1.07 MB) ,
CBMM Funded
“System Identification of Neural Systems: If We Got It Right, Would We Know?”, Proceedings of the 40th International Conference on Machine Learning, PMLR, vol. 202. pp. 12430-12444, 2023. han23d.pdf (797.48 KB) ,
CBMM Funded
CBMM Memo No.
142
“Skip Connections Increase the Capacity of Associative Memories in Variable Binding Mechanisms”. 2023. CBMM-Memo-142.pdf (1.64 MB) ,
CBMM Funded
“Catalyzing next-generation Artificial Intelligence through NeuroAIAbstract”, Nature Communications, vol. 14, no. 1, 2023. ,
CBMM Funded
CBMM Memo No.
141
“Feature learning in deep classifiers through Intermediate Neural Collapse”. 2023. Feature_Learning_memo.pdf (2.16 MB) ,
CBMM Funded
“An empirical assay of view-invariant object learning in humans and comparison with baseline image-computable models”, bioRxiv, 2023. ,
CBMM Related
“For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability”, Analysis and Applications, vol. 21, no. 01, pp. 193 - 215, 2023. ,
CBMM Funded
“Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neural collapse and generalization bounds”, Research, 2023. research.0024.pdf (4.05 MB) ,
CBMM Funded
CBMM Memo No.
140
“SGD and Weight Decay Provably Induce a Low-Rank Bias in Deep Neural Networks”. 2023. Low-rank bias.pdf (2.38 MB) ,
CBMM Funded
CBMM Memo No.
139
“Norm-Based Generalization Bounds for Compositionally Sparse Neural Networks”. 2023. Norm-based bounds for convnets.pdf (1.2 MB) ,
CBMM Funded
2022
“NeuroDecodeR: A package for neural decoding analyses in R”, bioRxiv, 2022. ,
CBMM Funded