MLJC project in Geometric DL accepted at NeurIPS 2022, New Orleans (USA)

MLJC project in Geometric DL accepted at NeurIPS 2022, New Orleans (USA)

We are delighted to announce that a group from MLJC including Luca Bottero, Francesco Calisto and Valerio Pagliarino will present their work at the world-leading conference NeurIPS 2022 (Neural Information Processing Systems) in the Neur-Reps (https://www.neurreps.org/) (Symmetries and Geometry in Neural Representations) workshop. The conference will take place in New Orleans, Louisiana (USA) from November, 27th to December 3rd. The project is inserted in the landscape of Geometric Deep Learning (GDL), a relatively recent branch of Machine Learning aiming at studying how to enforce geometrical structures and priors into ML models, whit the final goal of increasing performances, generalization capabilities and explainability. This specific work, titled Unsupervised Learning of Geometrical Features from Images by explicit Group Action Enforcement, has the ability of automatically disentangling the geometric rototranslational and scaling features from the intrinsic ones, when creating a latent representation of a dataset of input images. This line of research may lead in future to the development of more powerful and efficient architectures...
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Presentation of MLJC Projects for A.Y.  2022/23  10th November, Physics Dept. of the University of Turin

Presentation of MLJC Projects for A.Y. 2022/23 10th November, Physics Dept. of the University of Turin

The Machine Learning Journal Club is happy to invite you to the event "MLJC - Presentation of projects and activities for the Academic Year 2022-23". MLJC members will present the key projects and activites currently under development and they will interact with students, researchers and AI enthusiasts for extending our network and opportunities to everyone that is interested in collaborating with us. A large number of highly interactive short talks will allow people to get insight on the technical activities of MLJC in the fields of theoretical and applied Machine Learning, Deep Learning and Artificial Intelligence. Talks will range from Brain Computer Interfaces to ML applications in Physics to Natural Language Processing. Venue: Aula Magna, Physics Department, University of Turin, (Via Giuria 1, Torino)November 10th, from 4 p.m to 7 p.m. Save the dateOpen PDF ...
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