Ya, that works<http://scholar.google.com/scholar?cites=16121748425115122991&as_sdt=2005&sciodt=0,5&hl=en>. Out of the published papers that use Julia for numeric computing, and cite the main Julia paper, we have
- Foulds, James, et al. "Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation." *Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining*. ACM, 2013. - Tran, M-N., et al. "Annealed Important Sampling for Models with Latent Variables." *arXiv preprint arXiv:1402.6035* (2014). - Picchini, Umberto, and Julie Lyng Forman. "Accelerating inference for diffusions observed with measurement error and large sample sizes using Approximate Bayesian Computation: A case study." *arXiv preprint arXiv:1310.0973* (2013). - Lin, Dahua. "Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation." *Advances in Neural Information Processing Systems*. 2013. So all machine-learning. Might be cool to maintain a list somewhere for marketing purposes. On Friday, March 21, 2014 11:30:34 AM UTC-7, Ivar Nesje wrote: > > I realised that about 10 seconds after pushing send. Strange how doing > something irreversible clears the mind. You might search for citations of > those two papers. > > Ivar > > kl. 19:19:11 UTC+1 fredag 21. mars 2014 skrev Jonathan Malmaud følgende: >> >> Well, those are papers about Julia. I meant papers that just use Julia as >> an implementation language in the course of doing other research. Sorry for >> not being clear. >> >> On Friday, March 21, 2014 11:10:12 AM UTC-7, Ivar Nesje wrote: >>> >>> It is prominently placed on our homepage: >>> http://julialang.org/publications/ >>> >>> Ivar >>> >>> kl. 19:07:40 UTC+1 fredag 21. mars 2014 skrev Jonathan Malmaud følgende: >>>> >>>> Is someone curating a list somewhere of published work that uses Julia? >>>> >>>
