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1802.08219
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Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
22 February 2018
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
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Papers citing
"Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds"
50 / 243 papers shown
Title
InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials
Xiao-Qi Han
Peng-Jie Guo
Ze-Feng Gao
Hao Sun
Zhong-Yi Lu
AI4CE
28
0
0
14 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
Ali Alawieh
Alexandru P. Condurache
3DPC
58
0
0
07 May 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J. Havens
Benjamin Kurt Miller
Bing Yan
Carles Domingo-Enrich
Anuroop Sriram
...
Brandon Amos
Brian Karrer
Xiang Fu
Guan-Horng Liu
Ricky T. Q. Chen
DiffM
50
0
0
16 Apr 2025
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
Alexander Windmann
Henrik S. Steude
Daniel Boschmann
Oliver Niggemann
OOD
AI4TS
41
0
0
04 Apr 2025
Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks
Fabian L. Thiemann
Thiago Reschützegger
Massimiliano Esposito
Tseden Taddese
Juan D. Olarte-Plata
Fausto Martelli
AI4CE
52
0
0
31 Mar 2025
Optimal Invariant Bases for Atomistic Machine Learning
Alice Allen
Emily Shinkle
Roxana Bujack
Nicholas Lubbers
37
0
0
30 Mar 2025
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey
Joohwan Seo
Soochul Yoo
Junwoo Chang
Hyunseok An
Hyunwoo Ryu
Soomi Lee
Arvind Kruthiventy
Jongeun Choi
R. Horowitz
71
2
0
12 Mar 2025
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
Jonas Elsborg
Luca Thiede
Alán Aspuru-Guzik
Tejs Vegge
Arghya Bhowmik
44
0
0
11 Mar 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Yunyang Li
Zaishuo Xia
Lin Huang
Xinran Wei
Han Yang
...
Zun Wang
Chang-Shu Liu
Jia Zhang
Bin Shao
Mark B. Gerstein
77
0
0
26 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Sihang Li
Fan Zhang
Yaorui Shi
Xuben Wang
Kenji Kawaguchi
Tat-Seng Chua
102
3
0
18 Feb 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Theodoros Kouzelis
Ioannis Kakogeorgiou
Spyros Gidaris
N. Komodakis
DRL
80
5
0
17 Feb 2025
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
Vinh Tong
Trung-Dung Hoang
Anji Liu
Guy Van den Broeck
Mathias Niepert
DiffM
82
0
0
14 Feb 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An
C. Qu
Yun-Fei Shi
XinHao Liu
Qianwei Tang
Fenglei Cao
Yuan Qi
40
0
0
12 Feb 2025
Group Ligands Docking to Protein Pockets
Jiaqi Guan
Jiahan Li
Xiangxin Zhou
Xingang Peng
Sheng Wang
Yunan Luo
Jian-wei Peng
Jianzhu Ma
38
0
0
28 Jan 2025
Learning local equivariant representations for quantum operators
Zhanghao Zhouyin
Zixi Gan
MingKang Liu
S. K. Pandey
Linfeng Zhang
Qiangqiang Gu
90
3
0
28 Jan 2025
Generative diffusion model with inverse renormalization group flows
Kanta Masuki
Yuto Ashida
DiffM
78
0
0
17 Jan 2025
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
Vinay Sharma
Olga Fink
AI4CE
47
1
0
13 Jan 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
76
0
0
02 Jan 2025
Approximate Equivariance in Reinforcement Learning
Jung Yeon Park
Sujay Bhatt
Sihan Zeng
Lawson L. S. Wong
Alec Koppel
Sumitra Ganesh
Robin Walters
34
1
0
06 Nov 2024
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
50
2
0
23 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu
Artem Moskalev
Tommaso Mansi
Mangal Prakash
Rui Liao
AI4CE
26
1
0
15 Oct 2024
Learning Equivariant Non-Local Electron Density Functionals
Nicholas Gao
Eike Eberhard
Stephan Günnemann
28
1
0
10 Oct 2024
Geometric Representation Condition Improves Equivariant Molecule Generation
Zian Li
Cai Zhou
Xiyuan Wang
Xingang Peng
Muhan Zhang
45
1
0
04 Oct 2024
SpinMultiNet: Neural Network Potential Incorporating Spin Degrees of Freedom with Multi-Task Learning
Koki Ueno
Satoru Ohuchi
Kazuhide Ichikawa
Kei Amii
Kensuke Wakasugi
54
0
0
05 Sep 2024
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth
Yinshuang Xu
Ziyun Wang
Evangelos Chatzipantazis
Daniel Gehrig
Kostas Daniilidis
48
3
0
12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen
Minh Lenhat
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong-Son Hy
44
0
0
11 Aug 2024
Physics-Informed Weakly Supervised Learning for Interatomic Potentials
Makoto Takamoto
Viktor Zaverkin
Mathias Niepert
AI4CE
60
0
0
23 Jul 2024
OrbitGrasp:
S
E
(
3
)
SE(3)
SE
(
3
)
-Equivariant Grasp Learning
Boce Hu
Xupeng Zhu
Dian Wang
Zihao Dong
Haojie Huang
Chenghao Wang
Robin Walters
Robert Platt
3DPC
28
9
0
03 Jul 2024
On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov
Nadav Dym
48
1
0
02 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning
Artem Moskalev
Mangal Prakash
Rui Liao
Tommaso Mansi
49
2
0
01 Jul 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen
Shengjie Luo
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
AI4CE
38
5
0
24 Jun 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
Zinan Zheng
Yang Liu
Jia Li
Jianhua Yao
Yu Rong
AI4CE
51
1
0
24 Jun 2024
Evaluating representation learning on the protein structure universe
Arian R. Jamasb
Alex Morehead
Chaitanya K. Joshi
Zuobai Zhang
Kieran Didi
...
Charles Harris
Jian Tang
Jianlin Cheng
Pietro Lio
Tom L. Blundell
SSL
48
12
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19 Jun 2024
Molecule Graph Networks with Many-body Equivariant Interactions
Zetian Mao
Jiawen Li
Chen Liang
Diptesh Das
Masato Sumita
Koji Tsuda
Kelin Xia
Koji Tsuda
35
1
0
19 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy Feng
Ricardo Baptista
Katherine Bouman
MedIm
DiffM
48
3
0
18 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
David R. Wessels
David M. Knigge
Samuele Papa
Riccardo Valperga
Sharvaree P. Vadgama
E. Gavves
Erik J. Bekkers
52
7
0
09 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md. Atik Ahamed
Qiang Cheng
Mamba
66
1
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06 Jun 2024
Machine learning Hubbard parameters with equivariant neural networks
M. Uhrin
A. Zadoks
Luca Binci
Nicola Marzari
I. Timrov
33
6
0
04 Jun 2024
A Recipe for Charge Density Prediction
Xiang Fu
Andrew S. Rosen
Kyle Bystrom
Rui Wang
Albert Musaelian
Boris Kozinsky
Tess E. Smidt
Tommi Jaakkola
53
5
0
29 May 2024
Steerable Transformers
Soumyabrata Kundu
Risi Kondor
ViT
LLMSV
35
1
0
24 May 2024
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
55
5
0
24 May 2024
Graph as Point Set
Xiyuan Wang
Pan Li
Muhan Zhang
GNN
3DPC
PINN
44
4
0
05 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network
Dmitrii Zhemchuzhnikov
Sergei Grudinin
38
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24 Apr 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Steffen Hagedorn
Marcel Milich
A. P. Condurache
50
4
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17 Mar 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks
Dongwon Son
Jaehyung Kim
Sanghyeon Son
Beomjoon Kim
3DPC
44
1
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15 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
34
20
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01 Mar 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
Mahdi Karami
Ali Ghodsi
VLM
48
6
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28 Feb 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
43
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23 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models
Zian Li
Xiyuan Wang
Shijia Kang
Muhan Zhang
36
2
0
07 Feb 2024
Equivariant Symmetry Breaking Sets
YuQing Xie
Tess E. Smidt
25
4
0
05 Feb 2024
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