Publication
] 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 142, 104894 (2024).
A ubiquitous spectrolaminar motif of local field potential power across the primate cortexAbstract. Nature Neuroscience 27, 547 - 560 (2024).
What have we learned about artificial intelligence from studying the brain?. Biological Cybernetics 118, 1 - 5 (2024).
On efficiently computable functions, deep networks and sparse compositionality. (2025).
Deep_sparse_networks_approximate_efficiently_computable_functions.pdf (223.15 KB)
Deep_sparse_networks_approximate_efficiently_computable_functions.pdf (223.15 KB) The Indoor-Training Effect: unexpected gains from distribution shifts in the transition function. (2025). at <https://arxiv.org/abs/2401.15856>
Multiplicative Regularization Generalizes Better Than Additive Regularization. (2025). CBMM Memo 158.pdf (4.8 MB)
CBMM Memo 158.pdf (4.8 MB) Position: A Theory of Deep Learning Must Include Compositional Sparsity. (2025). CBMM Memo 159.pdf (676.35 KB)
CBMM Memo 159.pdf (676.35 KB) What if Eye..? Computationally Recreating Vision Evolution. arXiv (2025). at <https://arxiv.org/abs/2501.15001> 2501.15001v1.pdf (5.2 MB)
2501.15001v1.pdf (5.2 MB) Agent Systems for Academic Research Automation. (2026). Agent Systems for Academic Research Automation v. 2 (398.05 KB) Agent Systems for Academic Research Automation v. 1 (396.53 KB)
Agent Systems for Academic Research Automation v. 2 (398.05 KB) Agent Systems for Academic Research Automation v. 1 (396.53 KB) Associative Memory as the Core of Intelligence in Technology and Evolution. (2026). Review_On_Associative_Memories-14.pdf (245.78 KB)
Review_On_Associative_Memories-14.pdf (245.78 KB) pAI/MSc: ML Theory Research with Humans on the Loop. (2026). CBMM Memo 160.pdf (1.05 MB)
CBMM Memo 160.pdf (1.05 MB)