{"id":1617,"date":"2025-09-15T09:21:03","date_gmt":"2025-09-15T09:21:03","guid":{"rendered":"https:\/\/prg.inf.unibe.ch\/?page_id=1617"},"modified":"2025-09-15T09:23:37","modified_gmt":"2025-09-15T09:23:37","slug":"thesis-learning-and-analysis-of-rotations-in-se3","status":"publish","type":"page","link":"https:\/\/prg.inf.unibe.ch\/index.php\/education\/thesis-learning-and-analysis-of-rotations-in-se3\/","title":{"rendered":"thesis-Learning and analysis of rotations in SE(3)"},"content":{"rendered":"\n
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Learning and analysis of rotations in SE(3) environments<\/h1>\n\n\n\n

Co-Supervised by:<\/strong> Francesco Leonardi<\/p>\n\n\n\n

If you are interested in this topic or have further questions, do not hesitate to contact francesco.leonardi@unibe.ch<\/a>.<\/p>\n\n\n\n

Background \/ Context<\/strong><\/p>\n\n\n\n

In the field of graphs, the generation of molecules with specific properties represents one of the most promising and rapidly evolving areas of research. However, the state of the art is still in its early stages and requires, in addition to advanced generative models, the inclusion of features intrinsic to the problem, such as equivariance with respect to the SE(3) group. In other words, molecular rotations and translations must be consistently handled by the model. Mathematics and differential geometry have provided a solid theoretical foundation, enabling the development of generative models that respect these constraints. Given the complexity of the problem, this thesis will focus on a single aspect: the handling of rotations.<\/p>\n\n\n\n

Research Question(s) \/ Goals<\/strong><\/p>\n\n\n\n