{"id":"https://openalex.org/W4297253568","doi":"https://doi.org/10.1371/journal.pcbi.1010512","title":"Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight","display_name":"Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4297253568","doi":"https://doi.org/10.1371/journal.pcbi.1010512","pmid":"https://pubmed.ncbi.nlm.nih.gov/36166481"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010512","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010512","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010512&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010512&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063206100","display_name":"Olivia Zahn","orcid":"https://orcid.org/0000-0003-3292-4446"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Olivia Zahn","raw_affiliation_strings":["Department of Physics, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3292-4446","affiliations":[{"raw_affiliation_string":"Department of Physics, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061825652","display_name":"Jorge Bustamante","orcid":"https://orcid.org/0000-0003-0185-2216"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Bustamante","raw_affiliation_strings":["Department of Biology, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-0185-2216","affiliations":[{"raw_affiliation_string":"Department of Biology, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010393540","display_name":"Callin M. Switzer","orcid":"https://orcid.org/0000-0003-0901-169X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Callin Switzer","raw_affiliation_strings":["Department of Biology, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-0901-169X","affiliations":[{"raw_affiliation_string":"Department of Biology, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111704548","display_name":"Thomas L. Daniel","orcid":"https://orcid.org/0000-0002-5706-1096"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas L. Daniel","raw_affiliation_strings":["Department of Biology, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-5706-1096","affiliations":[{"raw_affiliation_string":"Department of Biology, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083450863","display_name":"J. Nathan Kutz","orcid":"https://orcid.org/0000-0002-6004-2275"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210138199","display_name":"University of Washington Applied Physics Laboratory","ror":"https://ror.org/03d17d270","country_code":"US","type":"facility","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Nathan Kutz","raw_affiliation_strings":["Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America","Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-6004-2275","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I4210138199"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063206100"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.8831,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90678475,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"18","issue":"9","first_page":"e1010512","last_page":"e1010512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11170","display_name":"Biomimetic flight and propulsion mechanisms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11170","display_name":"Biomimetic flight and propulsion mechanisms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10174","display_name":"Animal Behavior and Reproduction","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.712125837802887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6329267024993896},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5513513088226318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5402971506118774},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44895777106285095},{"id":"https://openalex.org/keywords/insect","display_name":"Insect","score":0.4353176951408386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3996887803077698},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.35247623920440674},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.32874470949172974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3282890319824219},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11454948782920837},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1105833649635315}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.712125837802887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6329267024993896},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5513513088226318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5402971506118774},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44895777106285095},{"id":"https://openalex.org/C2777612826","wikidata":"https://www.wikidata.org/wiki/Q1390","display_name":"Insect","level":2,"score":0.4353176951408386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3996887803077698},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.35247623920440674},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.32874470949172974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3282890319824219},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11454948782920837},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1105833649635315},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007313","descriptor_name":"Insecta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007313","descriptor_name":"Insecta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007313","descriptor_name":"Insecta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007313","descriptor_name":"Insecta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1371/journal.pcbi.1010512","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010512","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010512&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:36166481","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36166481","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:doaj.org/article:86b3ab7728324802ac8dd1bb5842d9f1","is_oa":true,"landing_page_url":"https://doaj.org/article/86b3ab7728324802ac8dd1bb5842d9f1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 18, Iss 9, p e1010512 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9543948","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9543948","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1010512","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010512","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010512&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G2520281063","display_name":null,"funder_award_id":"FA9550-19-1-0386","funder_id":"https://openalex.org/F4320306854","funder_display_name":"Washington Research Foundation"},{"id":"https://openalex.org/G2954150100","display_name":null,"funder_award_id":"2013-10-29","funder_id":"https://openalex.org/F4320306202","funder_display_name":"Gordon and Betty Moore Foundation"},{"id":"https://openalex.org/G4546651990","display_name":null,"funder_award_id":"FA9550-14-1-0398","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5673152215","display_name":null,"funder_award_id":"FA9550-19-1-0386","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5708185203","display_name":null,"funder_award_id":"2013-10-29","funder_id":"https://openalex.org/F4320306151","funder_display_name":"Alfred P. Sloan Foundation"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6196572449","display_name":null,"funder_award_id":"2013-10-29","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320306202","display_name":"Gordon and Betty Moore Foundation","ror":"https://ror.org/006wxqw41"},{"id":"https://openalex.org/F4320306854","display_name":"Washington Research Foundation","ror":"https://ror.org/00hasdx88"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297253568.pdf","grobid_xml":"https://content.openalex.org/works/W4297253568.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1879018584","https://openalex.org/W1991915036","https://openalex.org/W1997271342","https://openalex.org/W2020898714","https://openalex.org/W2039459256","https://openalex.org/W2051788799","https://openalex.org/W2095705004","https://openalex.org/W2116360511","https://openalex.org/W2120163044","https://openalex.org/W2120741941","https://openalex.org/W2135017741","https://openalex.org/W2137983211","https://openalex.org/W2149451815","https://openalex.org/W2150471545","https://openalex.org/W2156150815","https://openalex.org/W2163659869","https://openalex.org/W2407280098","https://openalex.org/W2414731984","https://openalex.org/W2460144244","https://openalex.org/W2609953405","https://openalex.org/W2756093780","https://openalex.org/W2771655537","https://openalex.org/W2777417212","https://openalex.org/W2808133870","https://openalex.org/W2919115771","https://openalex.org/W2963288853","https://openalex.org/W3003257820","https://openalex.org/W3008003211","https://openalex.org/W3008851394","https://openalex.org/W3011704954","https://openalex.org/W3035965352","https://openalex.org/W3098172061","https://openalex.org/W3099878876","https://openalex.org/W3101584733","https://openalex.org/W3103145119","https://openalex.org/W3199494145","https://openalex.org/W4281628626","https://openalex.org/W4296210573","https://openalex.org/W6677103964","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W1212596013","https://openalex.org/W2378744544","https://openalex.org/W3022212581","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W1985010875","https://openalex.org/W1987591823"],"abstract_inverted_index":{"Insect":[0],"flight":[1,40,59,107,133,231],"is":[2,202],"a":[3,30,83,100,130,180],"strongly":[4],"nonlinear":[5],"and":[6,43,141,187,209],"actuated":[7],"dynamical":[8],"system.":[9],"As":[10],"such,":[11],"strategies":[12],"for":[13,53,66,82,145],"understanding":[14],"its":[15,192],"control":[16,36,146],"have":[17],"typically":[18],"relied":[19],"on":[20,37,171,205],"either":[21],"model-based":[22],"methods":[23],"or":[24],"linearizations":[25],"thereof.":[26],"Here":[27],"we":[28],"develop":[29,138],"framework":[31],"that":[32,170,218],"combines":[33],"model":[34,42],"predictive":[35],"an":[38,50],"established":[39],"dynamics":[41],"deep":[44],"neural":[45,112],"networks":[46,81],"(DNN)":[47],"to":[48,63,93,97,105,120,178,191,229],"create":[49],"efficient":[51,80],"method":[52],"solving":[54],"the":[55,75,124,153,166,173,206,212,226],"inverse":[56],"problem":[57],"of":[58,77,86,126,156,165,183,198,211,224],"control.":[60],"We":[61,137,168],"turn":[62],"natural":[64],"systems":[65],"inspiration":[67],"since":[68],"they":[69],"inherently":[70],"demonstrate":[71,169],"network":[72,95,157,174,185],"pruning":[73,96,160],"with":[74,109],"consequence":[76],"yielding":[78],"more":[79],"specific":[84],"set":[85],"tasks.":[87,147],"This":[88],"bio-inspired":[89],"approach":[90],"allows":[91],"us":[92],"leverage":[94],"optimally":[98],"sparsify":[99],"DNN":[101],"architecture":[102,208],"in":[103],"order":[104],"perform":[106,189],"tasks":[108],"as":[110,114,123],"few":[111],"connections":[113,127],"possible,":[115],"however,":[116,201],"there":[117],"are":[118,222],"limits":[119,144],"sparsification.":[121],"Specifically,":[122],"number":[125,197],"falls":[128],"below":[129],"critical":[131],"threshold,":[132],"performance":[134,237],"drops":[135],"considerably.":[136],"sparsification":[139,234],"paradigms":[140],"explore":[142],"their":[143],"Monte":[148],"Carlo":[149],"simulations":[150],"also":[151],"quantify":[152],"statistical":[154],"distribution":[155],"weights":[158,164,186],"during":[159],"given":[161],"initial":[162,207],"random":[163],"DNNs.":[167],"average,":[172],"can":[175],"be":[176],"pruned":[177],"retain":[179],"small":[181],"amount":[182],"original":[184],"still":[188],"comparably":[190],"fully-connected":[193],"counterpart.":[194],"The":[195],"relative":[196],"remaining":[199],"weights,":[200],"highly":[203],"dependent":[204],"size":[210],"network.":[213],"Overall,":[214],"this":[215],"work":[216],"shows":[217],"sparsely":[219],"connected":[220],"DNNs":[221],"capable":[223],"predicting":[225],"forces":[227],"required":[228],"follow":[230],"trajectories.":[232],"Additionally,":[233],"has":[235],"sharp":[236],"limits.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
