Publications

Clifford-Steerable Convolutional Neural Networks
Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
February, 2024 ICML
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Clifford-Steerable Convolutional Neural Networks
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Initiated and conceptualized by Shuiwang Ji. See publication for full author list
July, 2023 arXiv preprint
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Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
A Program to build E(N)-Equivariant Steerable CNNs
Gabriele Cesa, Leon Lang, Maurice Weiler
January, 2022 ICLR
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A Program to build E(N)-Equivariant Steerable CNNs
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner, Maurice Weiler
June, 2021 ICLR
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Steerable Partial Differential Operators for Equivariant Neural Networks
Coordinate Independent Convolutional Networks
Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds
Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling
June, 2021 arXiv preprint
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Coordinate Independent Convolutional Networks
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang, Maurice Weiler
October, 2020 ICLR
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A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Gauge Equivariant Mesh CNNs
Anisotropic convolutions on geometric graphs
Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling
March, 2020 ICLR
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Gauge Equivariant Mesh CNNs
General E(2)-Equivariant Steerable CNNs
Maurice Weiler, Gabriele Cesa
November, 2019 NeurIPS
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General E(2)-Equivariant Steerable CNNs
Hyperbolic Convolutional Neural Networks
MSc Thesis of Andrii Skliar, supervised by Maurice Weiler
Andrii Skliar, Maurice Weiler
August, 2019 University of Amsterdam
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Hyperbolic Convolutional Neural Networks
Covariance in Physics and Convolutional Neural Networks
Miranda Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco Cohen, Max Welling
June, 2019 ICML workshop
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Covariance in Physics and Convolutional Neural Networks
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling
February, 2019 ICML
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Gauge Equivariant Convolutional Networks and the Icosahedral CNN
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco Cohen, Mario Geiger, Maurice Weiler
November, 2018 NeurIPS
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A General Theory of Equivariant CNNs on Homogeneous Spaces
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi, Pim de Haan, Tim Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco Cohen
July, 2018 ICML workshop
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Explorations in Homeomorphic Variational Auto-Encoding
3D Steerable CNNs
Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen
July, 2018 NeurIPS
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3D Steerable CNNs
Intertwiners between Induced Representations
(with Applications to the Theory of Equivariant Neural Networks)
Taco Cohen, Mario Geiger, Maurice Weiler
March, 2018 arXiv preprint
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Intertwiners between Induced Representations
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler, Fred A. Hamprecht, Martin Storath
November, 2017 CVPR
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Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant Convolutional Neural Networks
MSc Thesis
Maurice Weiler
October, 2017 Heidelberg University
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Learning Steerable Filters for Rotation Equivariant Convolutional Neural Networks
On the existence of inhomogeneous phases in the Nambu-Jona-Lasinio model
BSc Thesis
Maurice Weiler
February, 2015 Technical University of Darmstadt
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On the existence of inhomogeneous phases in the Nambu-Jona-Lasinio model