{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T05:29:23Z","timestamp":1732771763342,"version":"3.29.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T00:00:00Z","timestamp":1721606400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T00:00:00Z","timestamp":1721606400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,22]]},"DOI":"10.1109\/compeng60905.2024.10741461","type":"proceedings-article","created":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T19:47:49Z","timestamp":1731008869000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Kernel Shape Renormalization In Bayesian Shallow Networks: a Gaussian Process Perspective"],"prefix":"10.1109","author":[{"given":"Rosalba","family":"Pacelli","sequence":"first","affiliation":[{"name":"I.N.F.N., sezione di Padova Via Marzolo 8,Padova,Italy,35131"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lorenzo","family":"Giambagli","sequence":"additional","affiliation":[{"name":"University of Florence, Via Sansone 1,CSDC,Department of Physics,Sesto Fiorentino,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Baglioni","sequence":"additional","affiliation":[{"name":"I.N.F.N., sezione di Milano Bicocca Piazza della scienza 3,Milano,Italy,20126"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0745-0_2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref3","first-page":"133","article-title":"Introduction to gaussian processes","volume":"168","author":"MacKay","year":"1998","journal-title":"NATO ASI Series F Computer and Systems Sciences"},{"article-title":"Deep neural networks as gaussian processes","volume-title":"In International Conference on Learning Representations","author":"Lee","key":"ref4"},{"key":"ref5","article-title":"Neural tangent kernel: Convergence and generalization in neural networks","volume":"31","author":"Jacot","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"article-title":"Gaussian process behaviour in wide deep neural networks","volume-title":"In International Conference on Learning Representations","author":"Alexander","key":"ref6"},{"key":"ref7","article-title":"Tensor programs ii: Neural tangent kernel for any architecture","author":"Yang","year":"2020","journal-title":"arXiv e-prints"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1214\/23-AAP1933"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevX.11.031059"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-023-00767-6"},{"key":"ref11","first-page":"arXiv:2307.11807","article-title":"Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks","author":"Aiudi","year":"2023","journal-title":"arXiv e-prints"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.133.027301"},{"key":"ref13","first-page":"arXiv:2407.07168","article-title":"Statistical mechanics of transfer learning in fully-connected networks in the proportional limit","author":"Ingrosso","year":"2024","journal-title":"arXiv e-prints"},{"key":"ref14","article-title":"Optimal learning of deep random networks of extensive-width","author":"Cui","year":"2023","journal-title":"arXiv preprint arXiv:2302.00375"},{"key":"ref15","first-page":"arXiv:2402.10164","volume-title":"Random features and polynomial rules","author":"Aguirre-L\u00f3pez","year":"2024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1806579115"},{"key":"ref17","first-page":"32240","article-title":"Self-consistent dynamical field theory of kernel evolution in wide neural networks","volume":"35","author":"Bordelon","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-36361-y"},{"key":"ref19","first-page":"11727","article-title":"Tensor programs iv: Feature learning in infinite-width neural networks","volume-title":"Proceedings of the 38th International Conference on Machine Learning","volume":"139","author":"Yang"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21481-0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/ad1bea"},{"key":"ref22","article-title":"Wide neural networks of any depth evolve as linear models under gradient descent","volume":"32","author":"Lee","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2301345120"},{"volume-title":"Feature learning in finite-width bayesian deep linear networks with multiple outputs and convolutional layers","year":"2024","author":"Bassetti","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2311805121"}],"event":{"name":"2024 IEEE Workshop on Complexity in Engineering (COMPENG)","start":{"date-parts":[[2024,7,22]]},"location":"Florence, Italy","end":{"date-parts":[[2024,7,24]]}},"container-title":["2024 IEEE Workshop on Complexity in Engineering (COMPENG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10741365\/10741361\/10741461.pdf?arnumber=10741461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T14:49:22Z","timestamp":1732718962000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10741461\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,22]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/compeng60905.2024.10741461","relation":{},"subject":[],"published":{"date-parts":[[2024,7,22]]}}}