Current research interests: Variational autoencoders, generative models, and mixture models for timeseries datasets.
- (Variational) autoencoders
- Variational inference
- Generative models
- Monte Carlo sampling methods
- General linear models
- Generalized linear models
- Gaussian mixture models
- Evolutionary algorithms
- Incorporating user preferences in AI
- Time series model prediction
- Gradient-free optimization techniques
- Illumination of search-spaces
Interests
- Machine learning
- Model-based machine learning
- Artificial intelligence
- Bayesian optimization