{"id":"https://openalex.org/W2963038397","doi":"https://doi.org/10.1109/samos.2016.7818349","title":"On the modeling of error functions as high dimensional landscapes for weight initialization in learning networks","display_name":"On the modeling of error functions as high dimensional landscapes for weight initialization in learning networks","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2963038397","doi":"https://doi.org/10.1109/samos.2016.7818349","mag":"2963038397"},"language":"en","primary_location":{"id":"doi:10.1109/samos.2016.7818349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079744188","display_name":"Julius","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Julius","raw_affiliation_strings":["Department of Physics, BITS-Pilani, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Physics, BITS-Pilani, Hyderabad, India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041747019","display_name":"Gopinath Mahale","orcid":"https://orcid.org/0000-0002-6950-0834"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gopinath Mahale","raw_affiliation_strings":["CAD Lab, Indian Institute of Science, India"],"affiliations":[{"raw_affiliation_string":"CAD Lab, Indian Institute of Science, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064898256","display_name":"T. Sumana","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. Sumana","raw_affiliation_strings":["CAD Lab, Indian Institute of Science, India"],"affiliations":[{"raw_affiliation_string":"CAD Lab, Indian Institute of Science, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018951840","display_name":"C. S. Adityakrishna","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. S. Adityakrishna","raw_affiliation_strings":["Department of Computer Science, BITS-Pilani, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, BITS-Pilani, Hyderabad, India","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079744188"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2208589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1412 6550","issue":null,"first_page":"202","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.910205602645874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.702207088470459},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6477820873260498},{"id":"https://openalex.org/keywords/error-function","display_name":"Error function","score":0.5608596801757812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5484411120414734},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4945943057537079},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48341548442840576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4756088852882385},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43858981132507324},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43762892484664917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42096638679504395}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.910205602645874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702207088470459},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6477820873260498},{"id":"https://openalex.org/C202286095","wikidata":"https://www.wikidata.org/wiki/Q579262","display_name":"Error function","level":2,"score":0.5608596801757812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5484411120414734},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4945943057537079},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48341548442840576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4756088852882385},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43858981132507324},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43762892484664917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42096638679504395},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/samos.2016.7818349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W196761320","https://openalex.org/W272644393","https://openalex.org/W567896251","https://openalex.org/W1026270304","https://openalex.org/W1533861849","https://openalex.org/W1690739335","https://openalex.org/W1765206380","https://openalex.org/W2002096058","https://openalex.org/W2014372326","https://openalex.org/W2069143585","https://openalex.org/W2136922672","https://openalex.org/W2138451337","https://openalex.org/W2155893237","https://openalex.org/W2326985769","https://openalex.org/W2499952289","https://openalex.org/W2950621961","https://openalex.org/W2963037478","https://openalex.org/W2964118293","https://openalex.org/W2990138404","https://openalex.org/W3142187653","https://openalex.org/W4300537377","https://openalex.org/W6608133726","https://openalex.org/W6626481562","https://openalex.org/W6631943919","https://openalex.org/W6637551013","https://openalex.org/W6685315510"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W3095877357","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3208304128"],"abstract_inverted_index":{"Next":[0],"generation":[1],"deep":[2,51],"neural":[3,52],"networks":[4,25],"for":[5,133],"classification":[6,32],"hosted":[7],"on":[8,13,30,39],"embedded":[9],"platforms":[10],"will":[11],"rely":[12],"fast,":[14],"efficient,":[15],"and":[16,112],"accurate":[17],"learning":[18,24,135],"algorithms.":[19],"Initialization":[20],"of":[21,49,79,82,107,131],"weights":[22,43,132],"in":[23,66,105,110],"has":[26],"a":[27,50,55,108],"great":[28],"impact":[29],"the":[31,46,63,80,102,134],"accuracy.":[33],"In":[34],"this":[35,86],"paper":[36],"we":[37,88],"focus":[38],"deriving":[40],"good":[41],"initial":[42,129],"by":[44],"modeling":[45],"error":[47,72,103],"function":[48,73,104],"network":[53],"as":[54],"high-dimensional":[56],"landscape.":[57],"We":[58,100],"observe":[59],"that":[60],"due":[61],"to":[62,76,96,126],"inherent":[64],"complexity":[65],"its":[67,118],"algebraic":[68],"structure,":[69],"such":[70],"an":[71],"may":[74],"conform":[75],"general":[77,119],"results":[78,91,116,122],"statistics":[81],"large":[83],"systems.":[84],"To":[85],"end":[87],"apply":[89],"some":[90,114],"from":[92],"Random":[93],"Matrix":[94],"Theory":[95],"analyse":[97],"these":[98],"functions.":[99],"model":[101],"terms":[106],"Hamiltonian":[109],"N-dimensions":[111],"derive":[113],"theoretical":[115],"about":[117],"behavior.":[120],"These":[121],"are":[123],"further":[124],"used":[125],"make":[127],"better":[128],"guesses":[130],"algorithm.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}