Maurice Weiler

29 papers A* 10Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	—	`book`	Equivariant and Coordinate Independent Convolutional Networks - A Gauge Field Theory of Neural Networks Equivariant and Coordinate Independent Convolutional Networks Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling
2026	J	`jnl`	Zatom-1: A Multimodal Flow Foundation Model for 3D Molecules and Materials. CoRR Alex Morehead, Miruna T. Cretu, Antonia Panescu, Rishabh Anand, Maurice Weiler, Tynan Perez, Samuel M. Blau, Steven Farrell, Wahid Bhimji, Anubhav Jain, Hrushikesh Sahasrabuddhe, Pietro Lio, Tommi S. Jaakkola, Rafael Gómez-Bombarelli, Rex Ying, N. Benjamin Erichson, Michael W. Mahoney
2025	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Found. Trends Mach. Learn. 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, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, 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 J. 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
2025	J	`jnl`	Equivariant non-linear maps for neural networks on homogeneous spaces. CoRR Elias Nyholm, Oscar Carlsson, Maurice Weiler, Daniel Persson
2024	A*	`conf`	Clifford-Steerable Convolutional Neural Networks. ICML Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
2024	J	`jnl`	Clifford-Steerable Convolutional Neural Networks. CoRR Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
2023	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR 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 J. 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
2023	J	`jnl`	Hyperbolic Convolutional Neural Networks. CoRR Andrii Skliar, Maurice Weiler
2022	A*	`conf`	A Program to Build E(N)-Equivariant Steerable CNNs. ICLR Gabriele Cesa, Leon Lang, Maurice Weiler
2022	A*	`conf`	Steerable Partial Differential Operators for Equivariant Neural Networks. ICLR Erik Jenner, Maurice Weiler
2021	A*	`conf`	A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels. ICLR Leon Lang, Maurice Weiler
2021	J	`jnl`	Coordinate Independent Convolutional Networks - Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds. CoRR Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling
2021	A*	`conf`	Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs. ICLR Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling
2021	J	`jnl`	Steerable Partial Differential Operators for Equivariant Neural Networks. CoRR Erik Jenner, Maurice Weiler
2020	J	`jnl`	A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels. CoRR Leon Lang, Maurice Weiler
2020	J	`jnl`	Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs. CoRR Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling
2019	A*	`conf`	A General Theory of Equivariant CNNs on Homogeneous Spaces. NeurIPS Taco S. Cohen, Mario Geiger, Maurice Weiler
2019	J	`jnl`	Covariance in Physics and Convolutional Neural Networks. CoRR Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S. Cohen, Max Welling
2019	A*	`conf`	Gauge Equivariant Convolutional Networks and the Icosahedral CNN. ICML Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling
2019	J	`jnl`	Gauge Equivariant Convolutional Networks and the Icosahedral CNN. CoRR Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling
2019	A*	`conf`	General E(2)-Equivariant Steerable CNNs. NeurIPS Maurice Weiler, Gabriele Cesa
2019	J	`jnl`	General E(2)-Equivariant Steerable CNNs. CoRR Maurice Weiler, Gabriele Cesa
2018	A*	`conf`	3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. NeurIPS Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen
2018	J	`jnl`	3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. CoRR Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen
2018	J	`jnl`	A General Theory of Equivariant CNNs on Homogeneous Spaces. CoRR Taco Cohen, Mario Geiger, Maurice Weiler
2018	J	`jnl`	Explorations in Homeomorphic Variational Auto-Encoding. CoRR Luca Falorsi, Pim de Haan, Tim R. Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco S. Cohen
2018	J	`jnl`	Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks). CoRR Taco S. Cohen, Mario Geiger, Maurice Weiler
2018	A*	`conf`	Learning Steerable Filters for Rotation Equivariant CNNs. CVPR Maurice Weiler, Fred A. Hamprecht, Martin Storath
2017	J	`jnl`	Learning Steerable Filters for Rotation Equivariant CNNs. CoRR Maurice Weiler, Fred A. Hamprecht, Martin Storath