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Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
4 April 2025
Alexander Windmann
Henrik S. Steude
Daniel Boschmann
Oliver Niggemann
AI4TS
OOD
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Papers citing
"Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems"
23 / 23 papers shown
Spectral/Spatial Tensor Atomic Cluster Expansion with Universal Embeddings in Cartesian Space
Zemin Xu
Wenbo Xie
Daiqian Xie
197
0
0
18 Sep 2025
The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products
YuQing Xie
Ameya Daigavane
Mit Kotak
Tess E. Smidt
278
8
0
16 Jun 2025
Equivariant Diffusion Policy
Dian Wang
Stephen M. Hart
David Surovik
Tarik Kelestemur
Haojie Huang
Haibo Zhao
Mark Yeatman
Jiuguang Wang
Robin Walters
Robert Platt
DiffM
384
65
0
01 Jul 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
Neural Information Processing Systems (NeurIPS), 2024
Viktor Zaverkin
Francesco Alesiani
Takashi Maruyama
Federico Errica
Henrik Christiansen
Makoto Takamoto
Nicolas Weber
Mathias Niepert
366
15
0
23 May 2024
Cartesian atomic cluster expansion for machine learning interatomic potentials
npj Computational Materials (npj Comput. Mater.), 2024
Bingqing Cheng
301
77
0
12 Feb 2024
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
International Conference on Learning Representations (ICLR), 2023
Yidong Liao
Brandon M. Wood
Abhishek Das
Tess E. Smidt
580
301
0
21 Jun 2023
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials
Neural Information Processing Systems (NeurIPS), 2023
Guillem Simeon
Gianni De Fabritiis
338
80
0
10 Jun 2023
An Algorithm for Computing with Brauer's Group Equivariant Neural Network Layers
Edward Pearce-Crump
182
2
0
27 Apr 2023
Brauer's Group Equivariant Neural Networks
International Conference on Machine Learning (ICML), 2022
Edward Pearce-Crump
AI4CE
307
19
0
16 Dec 2022
Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations
Xiang Fu
Zhenghao Wu
Wujie Wang
T. Xie
S. Keten
Rafael Gómez-Bombarelli
Tommi Jaakkola
340
208
0
13 Oct 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Neural Information Processing Systems (NeurIPS), 2022
Ilyes Batatia
D. P. Kovács
G. Simm
Christoph Ortner
Gábor Csányi
373
935
0
15 Jun 2022
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
Nature Communications (Nat Commun), 2022
Albert Musaelian
Simon L. Batzner
A. Johansson
Lixin Sun
Cameron J. Owen
M. Kornbluth
Boris Kozinsky
356
719
0
11 Apr 2022
GemNet: Universal Directional Graph Neural Networks for Molecules
Neural Information Processing Systems (NeurIPS), 2021
Johannes Klicpera
Florian Becker
Stephan Günnemann
AI4CE
1.2K
586
0
02 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
International Conference on Machine Learning (ICML), 2021
Marc Finzi
Max Welling
A. Wilson
515
225
0
19 Apr 2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra
International Conference on Machine Learning (ICML), 2021
Kristof T. Schütt
Oliver T. Unke
M. Gastegger
455
728
0
05 Feb 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Nature Communications (Nat Commun), 2021
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
1.1K
1,929
0
08 Jan 2021
Directional Message Passing for Molecular Graphs
International Conference on Learning Representations (ICLR), 2020
Johannes Klicpera
Janek Groß
Stephan Günnemann
815
1,064
0
06 Mar 2020
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Neural Information Processing Systems (NeurIPS), 2018
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
493
576
0
06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
511
301
0
24 Jun 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
525
1,157
0
22 Feb 2018
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
813
1,352
0
26 Jun 2017
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
1.6K
8,789
0
04 Apr 2017
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
1.1K
2,270
0
24 Feb 2016
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