Diferencovatelné programování (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "Diferencovatelné programování" in Czech language version.

refsWebsite

Global rank Czech rank

5^th place

3^rd place

2^nd place

4^th place

4^th place

8^th place

low place

low place

1,185^th place

846^th place

1,482^nd place

700^th place

low place

low place

415^th place

684^th place

1,933^rd place

1,342^nd place

acm.org (Global: 1,185^th place; Czech: 846^th place)

dl.acm.org

Proceedings of the 32nd International Conference on Neural Information Processing Systems | Guide Proceedings. Guide Proceedings. Dostupné online [cit. 2023-07-05]. doi:10.5555/3327546. (anglicky)

doi.org (Global: 2^nd place; Czech: 4^th place)

Proceedings of the 32nd International Conference on Neural Information Processing Systems | Guide Proceedings. Guide Proceedings. Dostupné online [cit. 2023-07-05]. doi:10.5555/3327546. (anglicky)
LI, Li; HOYER, Stephan; PEDERSON, Ryan. Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics. Physical Review Letters. 2021-01-22, roč. 126, čís. 3, s. 036401. PMID: 33543980. Dostupné online [cit. 2023-07-05]. ISSN 1079-7114. doi:10.1103/PhysRevLett.126.036401. PMID 33543980.

esa.int (Global: 1,482^nd place; Czech: 700^th place)

ADVANCED CONCEPTS TEAM. Differential Intelligence. esa.int [online]. 2016-10-01 [cit. 2023-07-05]. Dostupné online. (anglicky)

jmlr.org (Global: low place; Czech: low place)

BAYDIN, Atilim Gunes; PEARLMUTTER, Barak A.; RADUL, Alexey Andreyevich. Automatic Differentiation in Machine Learning: a Survey. Journal of Machine Learning Research. 2018, roč. 18, čís. 153, s. 1–43. Dostupné online [cit. 2023-07-05]. ISSN 1533-7928.

mit.edu (Global: 415^th place; Czech: 684^th place)

people.csail.mit.edu

Differentiable Monte Carlo Ray Tracing through Edge Sampling. people.csail.mit.edu [online]. [cit. 2023-07-05]. Dostupné online.

nih.gov (Global: 4^th place; Czech: 8^th place)

pubmed.ncbi.nlm.nih.gov

LI, Li; HOYER, Stephan; PEDERSON, Ryan. Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics. Physical Review Letters. 2021-01-22, roč. 126, čís. 3, s. 036401. PMID: 33543980. Dostupné online [cit. 2023-07-05]. ISSN 1079-7114. doi:10.1103/PhysRevLett.126.036401. PMID 33543980.

ncbi.nlm.nih.gov

LI, Li; HOYER, Stephan; PEDERSON, Ryan. Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics. Physical Review Letters. 2021-01-22, roč. 126, čís. 3, s. 036401. PMID: 33543980. Dostupné online [cit. 2023-07-05]. ISSN 1079-7114. doi:10.1103/PhysRevLett.126.036401. PMID 33543980.

pytorch.org (Global: low place; Czech: low place)

TensorFlow: Static Graphs — PyTorch Tutorials 1.7.0 documentation. pytorch.org [online]. [cit. 2023-07-05]. Dostupné online.

ucsd.edu (Global: 1,933^rd place; Czech: 1,342^nd place)

cseweb.ucsd.edu

Differentiable Programming for Image Processing and Deep Learning in Halide. cseweb.ucsd.edu [online]. [cit. 2023-07-05]. Dostupné online.

worldcat.org (Global: 5^th place; Czech: 3^rd place)

BAYDIN, Atilim Gunes; PEARLMUTTER, Barak A.; RADUL, Alexey Andreyevich. Automatic Differentiation in Machine Learning: a Survey. Journal of Machine Learning Research. 2018, roč. 18, čís. 153, s. 1–43. Dostupné online [cit. 2023-07-05]. ISSN 1533-7928.
LI, Li; HOYER, Stephan; PEDERSON, Ryan. Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics. Physical Review Letters. 2021-01-22, roč. 126, čís. 3, s. 036401. PMID: 33543980. Dostupné online [cit. 2023-07-05]. ISSN 1079-7114. doi:10.1103/PhysRevLett.126.036401. PMID 33543980.