Maurice Weiler

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Differential Operators

Volumetric Data

Convolutional Neural Networks

Top Venues

Publications

Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
Clifford-Steerable Convolutional Neural Networks. CoRR (2024)
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Andrii Skliar, Maurice Weiler
Hyperbolic Convolutional Neural Networks. CoRR (2023)
Gabriele Cesa, Leon Lang, Maurice Weiler
A Program to Build E(N)-Equivariant Steerable CNNs. ICLR (2022)
Erik Jenner, Maurice Weiler
Steerable Partial Differential Operators for Equivariant Neural Networks. ICLR (2022)
Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling
Coordinate Independent Convolutional Networks - Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds. CoRR (2021)
Erik Jenner, Maurice Weiler
Steerable Partial Differential Operators for Equivariant Neural Networks. CoRR (2021)
Leon Lang, Maurice Weiler
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels. ICLR (2021)
Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs. ICLR (2021)
Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs. CoRR (2020)
Leon Lang, Maurice Weiler
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels. CoRR (2020)
Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling
Gauge Equivariant Convolutional Networks and the Icosahedral CNN. CoRR (2019)
Maurice Weiler, Gabriele Cesa
General E(2)-Equivariant Steerable CNNs. CoRR (2019)
Taco S. Cohen, Mario Geiger, Maurice Weiler
A General Theory of Equivariant CNNs on Homogeneous Spaces. NeurIPS (2019)
Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S. Cohen, Max Welling
Covariance in Physics and Convolutional Neural Networks. CoRR (2019)
Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling
Gauge Equivariant Convolutional Networks and the Icosahedral CNN. ICML (2019)
Maurice Weiler, Gabriele Cesa
General E(2)-Equivariant Steerable CNNs. NeurIPS (2019)
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. CoRR (2018)
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. NeurIPS (2018)
Maurice Weiler, Fred A. Hamprecht, Martin Storath
Learning Steerable Filters for Rotation Equivariant CNNs. CVPR (2018)
Taco Cohen, Mario Geiger, Maurice Weiler
A General Theory of Equivariant CNNs on Homogeneous Spaces. CoRR (2018)
Luca Falorsi, Pim de Haan, Tim R. Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco S. Cohen
Explorations in Homeomorphic Variational Auto-Encoding. CoRR (2018)
Taco S. Cohen, Mario Geiger, Maurice Weiler
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks). CoRR (2018)
Maurice Weiler, Fred A. Hamprecht, Martin Storath
Learning Steerable Filters for Rotation Equivariant CNNs. CoRR (2017)