Junior professorship of practical computer science - modern aspects of data processing / data science (Prof. Braun)

Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference - A Work In Progress Hamid, Sagad; Braun, Tanya (2025) In: arXiv:2503.08786. Research article in digital collection \| Preprint \| Peer reviewed \| Published
Efficient Morphing of Shape-preserving Star Coordinates Molchanov V, Hamid S, Linsen L (2020) In: (eds.), 2020 IEEE Pacific Visualization Symposium (PacificVis), 136-145. Wiley-IEEE Press. doi:10.1109/PacificVis48177.2020.8199 Research article in edited proceedings (conference) \| Peer reviewed \| online first
Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks Hamid S, Derstroff A, Klemm S, Ngo Q. Q., Jiang X, Linsen L (2019) In: Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko (eds.), Machine Learning Methods in Visualisation for Big Data. Eurographics Association. doi:10.2312/mlvis.20191160 Research article in edited proceedings (conference) \| Peer reviewed \| Published

Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference
Hamid, Sagad (04/08/2024)
DSO-24 6th Data Science Meets Optimisation Workshop at IJCAI-24, Jeju
Type of talk: scientific talk