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
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Lee D; Kong M; Hamid S; Lee C; Yoo J (2025) In: Singh A; Fazel M; Hsu D; Lacoste-Julien S; Berkenkamp F; Maharaj T; Wagstaff K; Zhu J (eds.), Proceedings of the 42nd International Conference on Machine Learning. .: MLResearchPress. Research article in edited proceedings (conference)
Efficient Morphing of Shape-preserving Star Coordinates Molchanov V, Hamid S, Linsen L (2020) In: (eds.), 2020 IEEE Pacific Visualization Symposium (PacificVis). Wiley-IEEE Press. Research article in edited proceedings (conference)
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. Research article in edited proceedings (conference)

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