{"id":"https://openalex.org/W4404928080","doi":"https://doi.org/10.3390/e26121046","title":"Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code","display_name":"Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404928080","doi":"https://doi.org/10.3390/e26121046","pmid":"https://pubmed.ncbi.nlm.nih.gov/39766675"},"language":"en","primary_location":{"id":"doi:10.3390/e26121046","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26121046","pdf_url":"https://www.mdpi.com/1099-4300/26/12/1046/pdf?version=1733134081","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/26/12/1046/pdf?version=1733134081","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071048251","display_name":"Eric J. Michaud","orcid":"https://orcid.org/0000-0001-7912-1953"},"institutions":[{"id":"https://openalex.org/I4210160315","display_name":"The NSF AI Institute for Artificial Intelligence and Fundamental Interactions","ror":"https://ror.org/04pvzz946","country_code":"US","type":"facility","lineage":["https://openalex.org/I121934306","https://openalex.org/I12912129","https://openalex.org/I136199984","https://openalex.org/I4210160315","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric J. Michaud","raw_affiliation_strings":["Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I4210160315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108520183","display_name":"Isaac Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isaac Liao","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015527945","display_name":"Vedang Lad","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vedang Lad","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924540","display_name":"Ziming Liu","orcid":"https://orcid.org/0000-0002-3781-4636"},"institutions":[{"id":"https://openalex.org/I4210160315","display_name":"The NSF AI Institute for Artificial Intelligence and Fundamental Interactions","ror":"https://ror.org/04pvzz946","country_code":"US","type":"facility","lineage":["https://openalex.org/I121934306","https://openalex.org/I12912129","https://openalex.org/I136199984","https://openalex.org/I4210160315","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziming Liu","raw_affiliation_strings":["Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I4210160315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023335993","display_name":"Anish Mudide","orcid":"https://orcid.org/0000-0002-6174-2345"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anish Mudide","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038730512","display_name":"Chloe Loughridge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106258","display_name":"Harvard College Observatory","ror":"https://ror.org/01mcvy510","country_code":"US","type":"facility","lineage":["https://openalex.org/I103187081","https://openalex.org/I136199984","https://openalex.org/I4210106258","https://openalex.org/I4210124175"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chloe Loughridge","raw_affiliation_strings":["Harvard College, Cambridge, MA 02138, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard College, Cambridge, MA 02138, USA","institution_ids":["https://openalex.org/I4210106258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089640822","display_name":"Zifan Carl Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zifan Carl Guo","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093775237","display_name":"Tara Rezaei Kheirkhah","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tara Rezaei Kheirkhah","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104241454","display_name":"Mateja Vukeli\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mateja Vukeli\u0107","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091601455","display_name":"Max Tegmark","orcid":"https://orcid.org/0000-0001-7670-7190"},"institutions":[{"id":"https://openalex.org/I4210160315","display_name":"The NSF AI Institute for Artificial Intelligence and Fundamental Interactions","ror":"https://ror.org/04pvzz946","country_code":"US","type":"facility","lineage":["https://openalex.org/I121934306","https://openalex.org/I12912129","https://openalex.org/I136199984","https://openalex.org/I4210160315","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Max Tegmark","raw_affiliation_strings":["Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA 02139, USA"],"raw_orcid":"https://orcid.org/0000-0001-7670-7190","affiliations":[{"raw_affiliation_string":"Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I4210160315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5091601455"],"corresponding_institution_ids":["https://openalex.org/I4210160315","https://openalex.org/I63966007"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.6623,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76556422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"26","issue":"12","first_page":"1046","last_page":"1046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9983999729156494,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9961000084877014,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8493309617042542},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7479422092437744},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6662879586219788},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6512645483016968},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.634733259677887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6085497736930847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703689455986023},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5368042588233948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.533728301525116},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4979403018951416},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.4567677974700928},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4201127886772156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35765671730041504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3493855595588684},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3184918165206909}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8493309617042542},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7479422092437744},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6662879586219788},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6512645483016968},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.634733259677887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6085497736930847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703689455986023},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5368042588233948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.533728301525116},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4979403018951416},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.4567677974700928},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4201127886772156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35765671730041504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3493855595588684},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3184918165206909},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e26121046","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26121046","pdf_url":"https://www.mdpi.com/1099-4300/26/12/1046/pdf?version=1733134081","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:39766675","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39766675","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:dspace.mit.edu:1721.1/157939","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/157939","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/157939/1/entropy-26-01046.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Multidisciplinary Digital Publishing Institute","raw_type":"http://purl.org/eprint/type/JournalArticle"},{"id":"pmh:oai:pubmedcentral.nih.gov:11727218","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11727218","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11727218/pdf/entropy-26-01046.pdf","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":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:3643cc0a787a4159a120bbcffcd0c6a7","is_oa":true,"landing_page_url":"https://doaj.org/article/3643cc0a787a4159a120bbcffcd0c6a7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 26, Iss 12, p 1046 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e26121046","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26121046","pdf_url":"https://www.mdpi.com/1099-4300/26/12/1046/pdf?version=1733134081","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2004883221","display_name":null,"funder_award_id":"PHY-2019786","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3509299210","display_name":null,"funder_award_id":"2019786","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G539115378","display_name":null,"funder_award_id":"2141064","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404928080.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2068036649","https://openalex.org/W2752194699","https://openalex.org/W2770406504","https://openalex.org/W2771330107","https://openalex.org/W2972622742","https://openalex.org/W3010694149","https://openalex.org/W3036384875","https://openalex.org/W3036548566","https://openalex.org/W3134095442","https://openalex.org/W3212876771","https://openalex.org/W4226098701","https://openalex.org/W4241940531","https://openalex.org/W4281390462","https://openalex.org/W4283793451","https://openalex.org/W4285290881","https://openalex.org/W4285734663","https://openalex.org/W4319453780","https://openalex.org/W4379468972","https://openalex.org/W4383555717","https://openalex.org/W4389432325","https://openalex.org/W4404783717","https://openalex.org/W6779736323","https://openalex.org/W6780561946","https://openalex.org/W6843370592","https://openalex.org/W6854038428","https://openalex.org/W6854411514","https://openalex.org/W6859404549"],"related_works":["https://openalex.org/W2797441709","https://openalex.org/W2346578521","https://openalex.org/W4297660007","https://openalex.org/W4377704659","https://openalex.org/W2886918272","https://openalex.org/W4387589990","https://openalex.org/W2943982549","https://openalex.org/W3101055019","https://openalex.org/W2910028250","https://openalex.org/W4241566321"],"abstract_inverted_index":{"Can":[0],"we":[1,14],"turn":[2],"AI":[3],"black":[4],"boxes":[5],"into":[6,51,104],"code?":[7],"Although":[8],"this":[9,127,159],"mission":[10],"sounds":[11],"extremely":[12],"challenging,":[13],"show":[15],"that":[16,28,64,85],"it":[17,73],"is":[18,136],"not":[19,87,138],"entirely":[20],"impossible":[21],"by":[22,68,89],"presenting":[23],"a":[24,58,105],"proof-of-concept":[25],"method,":[26],"MIPS,":[27],"can":[29,65],"synthesize":[30],"programs":[31],"based":[32],"on":[33,57],"the":[34,44,48,102,118],"automated":[35],"mechanistic":[36],"interpretability":[37],"of":[38,60,81,134],"neural":[39],"networks":[40],"trained":[41],"to":[42,76,100,116,123,161],"perform":[43],"desired":[45],"task,":[46],"auto-distilling":[47],"learned":[49,67,119],"algorithm":[50],"Python":[52],"code.":[53],"We":[54,151],"test":[55],"MIPS":[56,78,95],"benchmark":[59],"62":[61],"algorithmic":[62],"tasks":[63],"be":[66],"an":[69,97],"RNN":[70,103],"and":[71,147,154,167],"find":[72],"highly":[74],"complementary":[75],"GPT-4:":[77],"solves":[79,93],"32":[80],"them,":[82],"including":[83],"13":[84],"are":[86],"solved":[88],"GPT-4":[90],"(which":[91],"also":[92],"30).":[94],"uses":[96],"integer":[98,113],"autoencoder":[99],"convert":[101],"finite":[106],"state":[107],"machine,":[108],"then":[109],"applies":[110],"Boolean":[111],"or":[112],"symbolic":[114],"regression":[115],"capture":[117],"algorithm.":[120],"As":[121],"opposed":[122],"large":[124],"language":[125],"models,":[126],"program":[128],"synthesis":[129],"technique":[130],"makes":[131],"no":[132],"use":[133],"(and":[135],"therefore":[137],"limited":[139],"by)":[140],"human":[141],"training":[142],"data":[143],"such":[144],"as":[145],"algorithms":[146],"code":[148],"from":[149],"GitHub.":[150],"discuss":[152],"opportunities":[153],"challenges":[155],"for":[156],"scaling":[157],"up":[158],"approach":[160],"make":[162],"machine-learned":[163],"models":[164],"more":[165],"interpretable":[166],"trustworthy.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
