Generative deep learning
Developing new StyleGAN-based facial processing techniques for experimental video synthesis
Deep learning for music synthesis and analysis. Human interaction recognition
Technical consulting for an audio-reactive exhibition using StyleGAN
Privacy-preserving tabular data synthesis with distributed generative adversarial networks
An hour-long custom StyleGAN audiovisual tailored to Frequent's music and visual taste. Shown on a massive screen in the amphitheater during the concert
Exploratory follow-up research based on PipeTune: Pipeline Parallelism of Hyper & System Parameters Tuning for Deep Learning Clusters
Board member of the TU Delft student waterpolo and swimming association
Accepted paper and oral presentation
A framework that is the culmination of years of experimental work with deep learning, whose goal is to enable simple composable usage of state-of-the-art creative algorithms
How can artists start using AI as part of their creative process, and at what part of the process is it most appropriate? Together with Helena Sarin, Dalena Tran, and Ryan Groves.
In my free time I enjoy making music under the moniker Wavefunk
Artificial intelligence technology. Deep learning, computer vision, distributed machine learning systems, multimedia search & recommendation, high performance computing, multivariate data analysis.
Machine learning, Bayesian statistics, stochastic processes, advanced algorithms, and compiler design
Computer science and engineering