Reformulating deep neural networks as mathematical programming problems
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Belyak, Nikita | |
| dc.contributor.author | Linkola, Joonatan | |
| dc.contributor.school | Perustieteiden korkeakoulu | fi |
| dc.contributor.supervisor | Oliveira, Fabricio | |
| dc.date.accessioned | 2023-06-06T08:14:38Z | |
| dc.date.available | 2023-06-06T08:14:38Z | |
| dc.date.issued | 2023-05-29 | |
| dc.format.extent | 23 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/121277 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202306063658 | |
| dc.language.iso | en | en |
| dc.programme | Teknistieteellinen kandidaattiohjelma | fi |
| dc.programme.major | Matematiikka ja systeemitieteet | fi |
| dc.programme.mcode | SCI3029 | fi |
| dc.subject.keyword | deep neural networks | en |
| dc.subject.keyword | surrogate modeling | en |
| dc.subject.keyword | mathematical optimization | en |
| dc.subject.keyword | mixed-integer linear programming | en |
| dc.subject.keyword | adversarial examples | en |
| dc.title | Reformulating deep neural networks as mathematical programming problems | en |
| dc.type | G1 Kandidaatintyö | fi |
| dc.type.dcmitype | text | en |
| dc.type.ontasot | Bachelor's thesis | en |
| dc.type.ontasot | Kandidaatintyö | fi |