Rob Romijnders
where else to find them
github:RobRomijnders
linkedin:robromijnders
what they talk about
where they keep going back
- PyData Amsterdam3 editions2017–2024
on a stage with
never shared a talk
who talks about the same things
- Aleksander Molak6 talks
- Sarah Diot-Girard4 talks
- Nguyen Hong Quan6 talks
- Aaron Roth11 talks
- Sharmistha Chatterjee6 talks
- Elisabet Lobo-Vesga3 talks
| title | conference | date |
|---|---|---|
| Differential Privacy Made Practical | PyData Amsterdam 2024 | 2024-09-18 |
Differential privacy is shown with concrete choices: noise from a Laplace distribution for provable epsilon bounds, Gaussian only under ε,δ relaxations, and… | ||
| Bayesian Deep learning with 10% of the weights | PyData Amsterdam 2018 | 2018-05-25 |
Claims a variational Bayesian net that learns Gaussian mu and sigma per weight and samples weights at inference to get a posterior predictive, implemented in… | ||
| Using deep learning in natural language processing | PyData Amsterdam 2017 | 2017-04-07 |
Describes Google Translate moving from phrase‑based to a seq2seq recurrent neural network with attention trained across about 26 languages, using data and… | ||
| nothing matches | ||