{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:27:16Z","timestamp":1730266036611,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892232","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"01-08","source":"Crossref","is-referenced-by-count":0,"title":["Encoding Involutory Invariances in Neural Networks"],"prefix":"10.1109","author":[{"given":"Anwesh","family":"Bhattacharya","sequence":"first","affiliation":[{"name":"BITS-Pilani,Dept. of Physics & CSIS,Pilani,Rajasthan,India"}]},{"given":"Marios","family":"Mattheakis","sequence":"additional","affiliation":[{"name":"Institute for Applied Computational Science Harvard University,Cambridge,MA,United States"}]},{"given":"Pavlos","family":"Protopapas","sequence":"additional","affiliation":[{"name":"Institute for Applied Computational Science Harvard University,Cambridge,MA,United States"}]}],"member":"263","reference":[{"journal-title":"Physical symmetries embedded in neural networks","year":"2019","author":"mattheakis","key":"ref10"},{"journal-title":"Neural networks fail to learn periodic functions and how to fix it","year":"2020","author":"ziyin","key":"ref11"},{"key":"ref12","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"ICML 2010"},{"journal-title":"Searching for Activation Function","year":"2017","author":"ramachandran","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280459"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/72.712178"},{"key":"ref16","first-page":"125","author":"zhang","year":"2011","journal-title":"Special Types of Matrices"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF02551274"},{"journal-title":"Hamiltonian neural networks","year":"2019","author":"greydanus","key":"ref18"},{"journal-title":"Yale Face Database","year":"2001","author":"georghiades","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21468\/SciPostPhys.11.1.014"},{"key":"ref27","first-page":"1","article-title":"A swarm variant for the schrödinger solver","author":"jivani","year":"2021","journal-title":"IJCNN"},{"journal-title":"Introduction to Special Relativity","year":"1968","author":"resnick","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_4"},{"journal-title":"Beyond permutation equivariance in graph networks","year":"2021","author":"slade","key":"ref5"},{"journal-title":"On the generalization of equivariance and convolution in neural networks to the action of compact groups","year":"2018","author":"kondor","key":"ref8"},{"journal-title":"Group equivariant convolutional networks","year":"2016","author":"cohen","key":"ref7"},{"journal-title":"Lorentz group equivariant neural network for particle physics","year":"2020","author":"bogatskiy","key":"ref2"},{"key":"ref9","first-page":"318","author":"rumelhart","year":"1986","journal-title":"Learning Internal Representations by Error Propagation"},{"journal-title":"Incorporating symmetry into deep dynamics models for improved generalization","year":"2021","author":"wang","key":"ref1"},{"journal-title":"Physics informed deep learning (part i) Data-driven solutions of nonlinear partial differential equations","year":"2017","author":"raissi","key":"ref20"},{"journal-title":"General e(2)-equivariant steerable cnns","year":"2021","author":"weiler","key":"ref22"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref21"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"70","DOI":"10.3389\/fspas.2021.658229","article-title":"Photometric redshifts with machine learning, lights and shadows on a complex data science use case","volume":"8","author":"brescia","year":"2021","journal-title":"Frontiers Astron Space Sci"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1931","DOI":"10.21105\/joss.01931","article-title":"Neurodiffeq: A python package for solving differential equations with neural networks","volume":"5","author":"chen","year":"2020","journal-title":"JoSSC"},{"journal-title":"Detection of double-nuclei galaxies in sdss","year":"2020","author":"anwesh","key":"ref26"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"2897","DOI":"10.1093\/mnras\/stz3426","article-title":"Streaming classification of variable stars","volume":"492","author":"zorich","year":"2019","journal-title":"Monthly Notices of the Royal Astronomical Society"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892232.pdf?arnumber=9892232","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:59:20Z","timestamp":1667516360000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892232\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892232","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}