# Citations

## Blog Posts

| Post | Citations |
|------|-----------|
| [Gaussian processes for classification](https://krasserm.github.io/2020/11/04/gaussian-processes-classification/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm.github.io%2F2020%2F11%2F04%2Fgaussian-processes-classification%22) |
| [Single image super-resolution with deep neural networks](https://krasserm.github.io/2019/09/04/super-resolution/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22github.com%2Fkrasserm%2Fsuper-resolution%22+OR+%22krasserm.github.io%2F2019%2F09%2F04%2Fsuper-resolution%22) |
| [Variational inference in Bayesian neural networks](https://krasserm.github.io/2019/03/14/bayesian-neural-networks/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm.github.io%2F2019%2F03%2F14%2Fbayesian-neural-networks%22) |
| [Deep feature consistent variational autoencoder](https://krasserm.github.io/2018/07/27/dfc-vae/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm.github.io%2F2018%2F07%2F27%2Fdfc-vae%22) |
| [Bayesian optimization](https://krasserm.github.io/2018/03/21/bayesian-optimization/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm.github.io%2F2018%2F03%2F21%2Fbayesian-optimization%22) |
| [Gaussian processes](https://krasserm.github.io/2018/03/19/gaussian-processes/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm.github.io%2F2018%2F03%2F19%2Fgaussian-processes%22) |
| [Deep face recognition with Keras, Dlib and OpenCV](https://krasserm.github.io/2018/02/07/deep-face-recognition/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm.github.io%2F2018%2F02%2F07%2Fdeep-face-recognition%22+OR+%22github.com%2Fkrasserm%2Fface-recognition%22) |
| [A service framework for operation-based CRDTs](https://krasserm.github.io/2016/10/19/operation-based-crdt-framework/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22rbmhtechnology.github.io%2Feventuate%22+AND+%22CRDT%22) |
| [Event sourcing at global scale](https://krasserm.github.io/2015/01/13/event-sourcing-at-global-scale/index.md) | [Google Scholar](https://scholar.google.com/scholar?q=%22rbmhtechnology.github.io%2Feventuate%22) |


## Projects

| Project | Citations |
|---------|-----------|
| [bayesian-machine-learning](https://github.com/krasserm/bayesian-machine-learning) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm%2Fbayesian-machine-learning%22+OR+%22krasserm.github.io%2F2018%2F03%2F21%2Fbayesian-optimization%22+OR+%22krasserm.github.io%2F2019%2F03%2F14%2Fbayesian-neural-networks%22+OR+%22krasserm.github.io%2F2020%2F11%2F04%2Fgaussian-processes%22) |
| [perceiver-io](https://github.com/krasserm/perceiver-io) | [Google Scholar](https://scholar.google.com/scholar?q=%22https%3A%2F%2Fgithub.com%2Fkrasserm%2Fperceiver-io%22) |
| [super-resolution](https://github.com/krasserm/super-resolution) | [Google Scholar](https://scholar.google.com/scholar?q=%22github.com%2Fkrasserm%2Fsuper-resolution%22+OR+%22krasserm.github.io%2F2019%2F09%2F04%2Fsuper-resolution%22) |
| [fairseq-image-captioning](https://github.com/krasserm/fairseq-image-captioning) | [Google Scholar](https://scholar.google.com/scholar?q=%22https%3A%2F%2Fgithub.com%2Fkrasserm%2Ffairseq-image-captioning%22) |
| [face-recognition](https://github.com/krasserm/face-recognition) | [Google Scholar](https://scholar.google.com/scholar?q=%22krasserm.github.io%2F2018%2F02%2F07%2Fdeep-face-recognition%22+OR+%22github.com%2Fkrasserm%2Fface-recognition%22) |
| [eventuate](https://github.com/rbmhtechnology/eventuate) | [Google Scholar](https://scholar.google.com/scholar?q=%22rbmhtechnology.github.io%2Feventuate%22) |
| [ipf](https://github.com/oehf/ipf) | [Google Scholar](https://scholar.google.com/scholar?q=%22github.com%2Foehf%2Fipf%22+OR+%22oehf.github.io%2Fipf%22+OR+%22dzone.com%2Farticles%2Fintroduction-open-ehealth%22) |