Hi!
>>> print(self.status)
2nd year PhD student at AMLab
>>> print(self.supervisors)
Max Welling, Jan-Willem van de Meent, and Alfons Hoekstra
>>> print(self.research_interests)
physics-inspired deep learning, geometric deep learning
latest posts
Aug 2024 | Clifford-Steerable CNNs |
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Oct 2023 | Implicit Steerable Kernels |
selected publications
news
May 2024 |
Clifford-Steerable CNNs was accepted to ICML 2024! See you all in Vienna!
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Feb 2024 |
Together with David Ruhe, Maurice Weiler and others, we have developed Clifford-Steerable CNNs - a new class of isometry-equivariant CNNs that are able to operate on pseudo-Euclidean spaces, such as Euclidean space and Minkowski spacetime. Really strong results on PDEs, new relativistic benchmark and lots of very cool math. The paper is available here.
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Sep 2023 |
Our paper Implicit Convolutional Kernels for Steerable CNNs has been accepted to NeurIPS 2023! We developed a simple and efficient way to parameterize group equivariant convolutional kernels using implicit neural representation, which greatly simplifies the design of steerable CNNs. Check out the blog post for details.
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