Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds | Paper Citation Record

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Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctions cites this paper.

Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctions Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 23

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Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 92

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TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis cites this paper.

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 38

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Learning Color Equivariant Representations cites this paper.

Learning Color Equivariant Representations Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 22

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Physics-informed neural networks need a physicist to be accurate: the case of mass and heat transport in Fischer-Tropsch catalyst particles cites this paper.

Physics-informed neural networks need a physicist to be accurate: the case of mass and heat transport in Fischer-Tropsch catalyst particles Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Crystal Hypergraph Convolutional Networks cites this paper.

Crystal Hypergraph Convolutional Networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 43

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Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension cites this paper.

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 132

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OpenQDC: Open Quantum Data Commons cites this paper.

OpenQDC: Open Quantum Data Commons Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 25

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Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models cites this paper.

Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 35

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Fast and flexible long-range models for atomistic machine learning cites this paper.

Fast and flexible long-range models for atomistic machine learning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 8

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Dielectric tensor of perovskite oxides at finite temperature using equivariant graph neural network potentials cites this paper.

Dielectric tensor of perovskite oxides at finite temperature using equivariant graph neural network potentials Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation cites this paper.

LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 43

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A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks cites this paper.

A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 66

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EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction cites this paper.

EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Scaling field-theoretic simulation for multi-component mixtures with neural operators cites this paper.

Scaling field-theoretic simulation for multi-component mixtures with neural operators Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 34

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Level-Set Parameters: Novel Representation for 3D Shape Analysis cites this paper.

Level-Set Parameters: Novel Representation for 3D Shape Analysis Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition cites this paper.

Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T11:43:06.235341Z

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High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces cites this paper.

High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 37

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Learning Broken Symmetries with Approximate Invariance cites this paper.

Learning Broken Symmetries with Approximate Invariance Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Hierarchical equivariant graph neural networks for forecasting collective motion in vortex clusters and microswimmers cites this paper.

Hierarchical equivariant graph neural networks for forecasting collective motion in vortex clusters and microswimmers Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 29

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Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding cites this paper.

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 96

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Symmetries-enhanced Multi-Agent Reinforcement Learning cites this paper.

Symmetries-enhanced Multi-Agent Reinforcement Learning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 59

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Discovery of Spin-Crossover Candidates with Equivariant Graph Neural Networks and Relevance-Based Classification cites this paper.

Discovery of Spin-Crossover Candidates with Equivariant Graph Neural Networks and Relevance-Based Classification Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 54

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D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation cites this paper.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks cites this paper.

CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Generative diffusion model with inverse renormalization group flows cites this paper.

Generative diffusion model with inverse renormalization group flows Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 54

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MatrixNet: Learning over symmetry groups using learned group representations cites this paper.

MatrixNet: Learning over symmetry groups using learned group representations Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks cites this paper.

An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 32

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Group Ligands Docking to Protein Pockets cites this paper.

Group Ligands Docking to Protein Pockets Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 2022

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Beyond Pairwise Interactions: Equivariant Hypergraph Diffusion for Crystal Structure Prediction cites this paper.

Beyond Pairwise Interactions: Equivariant Hypergraph Diffusion for Crystal Structure Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 37

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Learning the Electronic Hamiltonian of Large Atomic Structures cites this paper.

Learning the Electronic Hamiltonian of Large Atomic Structures Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 38

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Invariant Kernels: Rank Stabilization and Generalization Across Dimensions cites this paper.

Invariant Kernels: Rank Stabilization and Generalization Across Dimensions Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Observation 0eb978a6-1c7d-47c9-8359-b6a223b23566 · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations cites this paper.

Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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The Evolution of Machine Learning Potentials for Molecules, Reactions and Materials cites this paper.

The Evolution of Machine Learning Potentials for Molecules, Reactions and Materials Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 177

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Acceleration of crystal structure relaxation with Deep Reinforcement Learning cites this paper.

Acceleration of crystal structure relaxation with Deep Reinforcement Learning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction cites this paper.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling cites this paper.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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A Universal Spin-Orbit-Coupled Hamiltonian Model for Accelerated Quantum Material Discovery cites this paper.

A Universal Spin-Orbit-Coupled Hamiltonian Model for Accelerated Quantum Material Discovery Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging cites this paper.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks cites this paper.

EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems cites this paper.

Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation cites this paper.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation cites this paper.

EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks cites this paper.

Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems cites this paper.

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Geometric Hyena Networks for Large-scale Equivariant Learning cites this paper.

Geometric Hyena Networks for Large-scale Equivariant Learning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates cites this paper.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products cites this paper.

The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning cites this paper.

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules cites this paper.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction cites this paper.

Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems cites this paper.

OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? cites this paper.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Universal crystal material property prediction via multi-view geometric fusion in graph transformers cites this paper.

Universal crystal material property prediction via multi-view geometric fusion in graph transformers Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 56

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Observation dce69d63-da08-4bec-88a2-c65f5698399c · inbound

Energy-Based Flow Matching for Generating 3D Molecular Structure cites this paper.

Energy-Based Flow Matching for Generating 3D Molecular Structure Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:17.024897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a131ef94-0b15-4965-aab6-8f1199d70a64 · inbound

Generalizing Monocular 3D Object Detection cites this paper.

Generalizing Monocular 3D Object Detection Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 239

Resolution: unresolved; no resolver link, observed 2026-08-15T16:56:46.505359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4861859c-ede4-4fb9-84a9-b768368ab89f · inbound

Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model cites this paper.

Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T12:48:32.614372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22b8f84-84ed-487f-be2c-a7e0bb4445b2 · inbound

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction cites this paper.

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 235

Resolution: unresolved; no resolver link, observed 2026-08-05T12:10:09.532698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e05e6cf-724d-476a-a584-719b7c71a139 · inbound

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics cites this paper.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T22:36:20.055851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30f1e7da-ce09-4975-9526-40ed761278b5 · inbound

Visualizing phonon edge states on molybdenum disulphide cites this paper.

Visualizing phonon edge states on molybdenum disulphide Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T16:10:32.889389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a39751-9b56-4309-b75a-46cff4c20b09 · inbound

DEQuify your force field: More efficient simulations using deep equilibrium models cites this paper.

DEQuify your force field: More efficient simulations using deep equilibrium models Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T16:10:54.324871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d89c5a10-54c4-46d5-8085-94c509b734cd · inbound

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks cites this paper.

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:46:23.246784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81f51b1a-6142-4a6e-a824-00862542dba2 · inbound

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks cites this paper.

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-04T13:23:58.742781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5afceea-4a2e-46d6-afff-0493890b5edc · inbound

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing cites this paper.

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-18T10:02:31.628465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fb83d95-eacb-443e-8d74-a25c86ba08d5 · inbound

Platonic Transformers: A Solid Choice For Equivariance cites this paper.

Platonic Transformers: A Solid Choice For Equivariance Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T12:27:30.789449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed7f2ca-c35d-421b-8ef1-f4d13289e717 · inbound

Atomistic Machine Learning with Irreducible Cartesian Natural Tensors cites this paper.

Atomistic Machine Learning with Irreducible Cartesian Natural Tensors Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-18T11:06:17.536543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a930030-b4fb-48e2-aa66-b07ba30806b1 · inbound

Atomistic Machine Learning with Irreducible Cartesian Natural Tensors cites this paper.

Atomistic Machine Learning with Irreducible Cartesian Natural Tensors Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:39:01.210744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4dba50-e25c-45a9-8512-e6f9855c47ca · inbound

Conditional Clifford-Steerable CNNs for PDE Modeling cites this paper.

Conditional Clifford-Steerable CNNs for PDE Modeling Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:13.817422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f9ad248-2176-4b77-8cd5-f1afc1565e53 · inbound

On Universality of Deep Equivariant Networks cites this paper.

On Universality of Deep Equivariant Networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T09:26:10.493055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35498726-da55-4108-a0ce-b4cacd612a7d · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:17.138805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e3edc4b-924f-496b-9a04-c9d44fdc8338 · inbound

Equivariant symmetry-aware head pose estimation for fetal MRI cites this paper.

Equivariant symmetry-aware head pose estimation for fetal MRI Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T18:35:29.186772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02acf74c-8785-42c8-8dfd-1f7fb1c189c3 · inbound

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cites this paper.

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-25T07:20:28.596382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27761827-83cf-4e58-b007-365fcc81c753 · inbound

Physics-Constrained Self-Energy Warm Starts for Charge-Self-Consistent DFT+DMFT: Application to Iron at Core Conditions cites this paper.

Physics-Constrained Self-Energy Warm Starts for Charge-Self-Consistent DFT+DMFT: Application to Iron at Core Conditions Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-21T17:04:16.189266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a732c5b4-a47c-452f-ab9e-4016412e5246 · inbound

Simultaneous Learning of Static and Dynamic Charges cites this paper.

Simultaneous Learning of Static and Dynamic Charges Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-21T16:54:16.427018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 01d885df-980b-4c3d-94a9-531a587aef93 · inbound

Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink cites this paper.

Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T07:36:29.686725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b2798cb-611c-4ed7-bb53-7037bae72701 · inbound

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs cites this paper.

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T05:22:12.699364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e151cc7-8371-42f6-988c-eb0273334fc7 · inbound

Machine learning of electronic structure and atomistic properties from the external potential cites this paper.

Machine learning of electronic structure and atomistic properties from the external potential Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T23:00:57.267992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490f1c4b-74fc-4bcf-b3d0-6d5fef4b9071 · inbound

Machine Learning Hamiltonians are Accurate Energy-Force Predictors cites this paper.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-02T22:29:23.677254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc70cce-4aa2-4635-a1fa-3bca95c65a95 · inbound

SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction cites this paper.

SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T20:38:23.143554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 403ec0a6-c34c-43ba-8ab4-26356f6745c5 · inbound

A Hypertoroidal Covering for Perfect Color Equivariance cites this paper.

A Hypertoroidal Covering for Perfect Color Equivariance Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-02T18:57:18.399436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19cb95ab-6c31-4b53-aa70-b9ce8239aae3 · inbound

Metriplector: From Field Theory to Neural Architecture cites this paper.

Metriplector: From Field Theory to Neural Architecture Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:58:28.714626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c97eaa7-7bf0-4597-932a-32603045945a · inbound

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems cites this paper.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:00.904463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8180b33-502e-42a6-986f-c6da7e2da608 · inbound

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era cites this paper.

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:43:01.475043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 890ae06c-322c-48d2-89c3-9cd653ba45bb · inbound

Improving Molecular Force Fields with Minimal Temporal Information cites this paper.

Improving Molecular Force Fields with Minimal Temporal Information Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:26:01.206660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b43c238-bbfb-4de7-a1d4-661b8b6b26c8 · inbound

Neuro-evolutionary stochastic architectures in gauge-covariant neural fields cites this paper.

Neuro-evolutionary stochastic architectures in gauge-covariant neural fields Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:09:26.815513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 926f31b2-37ce-4bda-955c-5df7d53f66d9 · inbound

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery cites this paper.

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:11:17.245722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 356efcc2-42c3-46cc-8ed3-3e85ecc7a0e9 · inbound

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies cites this paper.

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:51:09.584669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9dbe1a3e-39fd-4cc5-9c88-6455ce57e6b0 · inbound

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies cites this paper.

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:28.588801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2dd29785-76d7-42d6-9285-ad9ea826336e · inbound

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies cites this paper.

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-15T11:19:59.272905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4774872-0a35-4a50-bc4c-fcdabb02e8cf · inbound

Diagnosing Spectral Ceilings in Equivariant Neural Force Fields cites this paper.

Diagnosing Spectral Ceilings in Equivariant Neural Force Fields Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:19.428030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ca6108c-5d59-4210-b453-bb08cc200e85 · inbound

Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning cites this paper.

Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:46:14.078658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2bbde8e-235c-4425-9b2e-f2b158948343 · inbound

Symmetry-Protected Basin Localization in Variational Quantum Eigensolvers cites this paper.

Symmetry-Protected Basin Localization in Variational Quantum Eigensolvers Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:27.827086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ccd308c3-5ee8-4194-8099-e035e388a798 · inbound

Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction cites this paper.

Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T19:57:53.643235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ccbda786-045e-4a0c-aa8d-f1e30eaf4940 · inbound

Majorana Constellations: A Geometric Lens on Multipartite Entanglement and Geometric Phases cites this paper.

Majorana Constellations: A Geometric Lens on Multipartite Entanglement and Geometric Phases Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:47.498019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b61b3ebb-e111-4037-9879-c50508b65f62 · inbound

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks cites this paper.

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-15T03:09:43.986135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4df537b0-bf33-44a2-9c83-a972d6d066f8 · inbound

Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature Space cites this paper.

Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature Space Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T15:57:49.360011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 07083043-e23b-4d93-8b77-10d60ec5952e · inbound

Neural Point-Forms cites this paper.

Neural Point-Forms Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-19T15:02:36.587206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation addd8a0b-75fd-420a-aafa-fff0451783a6 · inbound

Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction cites this paper.

Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T20:37:45.324306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0f981ff-a4d4-4ff3-a81c-3d0dc65507b9 · inbound

TacSE3: Equivariant SE(3) Motion Estimation from Low-Texture Visuotactile Images for In-Gripper Tracking and Compensation cites this paper.

TacSE3: Equivariant SE(3) Motion Estimation from Low-Texture Visuotactile Images for In-Gripper Tracking and Compensation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:38:12.619620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers