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https://openreview.net/forum?id=PTTa3U29NR Optimization Dynamics of Equivariant and Augmented Neural Networks | OpenReview We investigate the optimization of neural networks on symmetric data, and compare the strategy of constraining the architecture to be equivariant to that of... neural networks optimization dynamics equivariant augmented https://openreview.net/forum?id=ELFZWG9C7l Topological Neural Networks go Persistent, Equivariant, and Continuous | OpenReview Topological Neural Networks (TNNs) incorporate higher-order relational information beyond pairwise interactions, enabling richer representations than Graph... neural networks topological go persistent equivariant https://arxiv.org/abs/2212.00832 [2212.00832] Applications of Lattice Gauge Equivariant Neural Networks Abstract page for arXiv paper 2212.00832: Applications of Lattice Gauge Equivariant Neural Networks 2212 00832 applications lattice gauge https://www.ub.edu/ubtv/index.php/en/node/123189 Variational Discretizations of Gauge Field Theories Using Group-Equivariant Interpolation Spaces |... gauge field theories variational discretizations https://arxiv.org/abs/1702.01476 [1702.01476] Equivariant Metaplectic-c Prequantization of Symplectic Manifolds with Hamiltonian... Abstract page for arXiv paper 1702.01476: Equivariant Metaplectic-c Prequantization of Symplectic Manifolds with Hamiltonian Torus Actions 1702 01476 equivariant c https://arxiv.org/abs/2405.13850 [2405.13850] Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural... Abstract page for arXiv paper 2405.13850: Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks https://arxiv.org/abs/2411.00446 [2411.00446] A Lorentz-Equivariant Transformer for All of the LHC Abstract page for arXiv paper 2411.00446: A Lorentz-Equivariant Transformer for All of the LHC all of the 2411 00446 lorentz equivariant https://deepai.org/publication/theory-for-equivariant-quantum-neural-networks Theory for Equivariant Quantum Neural Networks | DeepAI Oct 16, 2022 - 10/16/22 - Most currently used quantum neural network architectures have little-to-no inductive biases, leading to trainability and generaliz... quantum neural networks theory equivariant deepai https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2015/subfactors-and-twisted-equivariant-k-theory Subfactors and twisted equivariant K-theory | School of Mathematics and Statistics equivariant k theory school of mathematics twisted statistics https://openreview.net/forum?id=WE4qe9xlnQw A Program to Build E(N)-Equivariant Steerable CNNs | OpenReview Equivariance is becoming an increasingly popular design choice to build data efficient neural networks by exploiting prior knowledge about the symmetries of... a program to build e n equivariant cnns https://arxiv.org/abs/0808.0034 [0808.0034] Sums of squares and moment problems in equivariant situations Abstract page for arXiv paper 0808.0034: Sums of squares and moment problems in equivariant situations sums of squares 0808 0034 https://openreview.net/forum?id=nAv5ketrHq Hierarchical Equivariant Policy via Frame Transfer | OpenReview Recent advances in hierarchical policy learning highlight the advantages of decomposing systems into high-level and low-level agents, enabling efficient... hierarchical equivariant policy via frame https://openreview.net/forum?id=2inBuwTyL2 Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks | OpenReview Many robot manipulation tasks can be framed as geometric reasoning tasks, where an agent must be able to precisely manipulate an object into a position that... se 3 geometric reasoning deep equivariant https://openreview.net/forum?id=XA8KsYjiFmV Scale-Equivariant UNet for Histopathology Image Segmentation | OpenReview We propose a Scale-Equivariant UNet for histopathology image segmentation. image segmentation scale equivariant unet histopathology https://arxiv.org/abs/2106.07832 [2106.07832] Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient... Abstract page for arXiv paper 2106.07832: Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent 2106 07832 learning equivariant energy https://arxiv.org/abs/2406.04171 [2406.04171] Equivariant Connections and their applications to Yang-Mills equations Abstract page for arXiv paper 2406.04171: Equivariant Connections and their applications to Yang-Mills equations yang mills 2406 04171 equivariant connections https://openreview.net/forum?id=smpWttHgxJ&referrer=%5Bthe%20profile%20of%20Jongeun%20Choi%5D(%2Fprofile%3Fid%3D~Jongeun_Choi1) Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic... https://openreview.net/forum?id=yRuJqoWoCs $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation | OpenReview Incorporating inductive bias by embedding geometric entities (such as rays) as input has proven successful in multi-view learning. However, the methods... se 3 https://www.umu.se/en/events/symmetries-in-deep-learning-group-equivariant-neural-networks2_11022994/ Symmetries in deep learning: Group equivariant neural networks deep learning group symmetries equivariant neural networks https://openreview.net/forum?id=4YESQqIys7 NfgTransformer: Equivariant Representation Learning for Normal-form Games | OpenReview Normal-form games (NFGs) are the fundamental model of *strategic interaction*. We study their representation using neural networks. We describe the inherent... representation learning normal form equivariant games openreview https://openreview.net/forum?id=bee2G6pEh0 SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching... Methods for jointly generating molecular graphs along with their 3D conformations have gained prominence recently due to their potential impact on... https://openreview.net/forum?id=p34fRKp8qA Lie Group Decompositions for Equivariant Neural Networks | OpenReview Invariance and equivariance to geometrical transformations have proven to be very useful inductive biases when training (convolutional) neural network models,... lie group decompositions neural networks equivariant openreview https://openreview.net/forum?id=eb_cpjZZ3GH Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions | OpenReview A discrete-continuous (DISCO) spherical CNN framework that is simultaneously rotationally equivariant and computationally scalable and achieves... scalable equivariant spherical cnns https://arxiv.org/abs/2501.03726 [2501.03726] Equivariant formality of the little disks operad Abstract page for arXiv paper 2501.03726: Equivariant formality of the little disks operad of the 2501 03726 equivariant formality https://arxiv.org/abs/2507.19382 [2507.19382] Learning Long-Range Representations with Equivariant Messages Abstract page for arXiv paper 2507.19382: Learning Long-Range Representations with Equivariant Messages long range 2507 19382 learning representations https://openreview.net/forum?id=cZOPrf5WLu&referrer=%5Bthe%20profile%20of%20Haggai%20Maron%5D(%2Fprofile%3Fid%3D~Haggai_Maron1) Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models |... Low-rank adaptations (LoRAs) have revolutionized the finetuning of large foundation models, enabling efficient adaptation even with limited computational... https://arxiv.org/abs/2202.06938 [2202.06938] Equivariant Kazhdan-Lusztig theory of paving matroids Abstract page for arXiv paper 2202.06938: Equivariant Kazhdan-Lusztig theory of paving matroids kazhdan lusztig theory 2202 06938 equivariant paving https://openreview.net/forum?id=OxNQXyZK-K8 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant... The state space in Multiagent Reinforcement Learning (MARL) grows exponentially with the agent number. Such a curse of dimensionality results in poor... reinforcement learning boosting multiagent via permutation https://openreview.net/forum?id=skws7Q160y&referrer=%5Bthe%20profile%20of%20Tess%20Smidt%5D(%2Fprofile%3Fid%3D~Tess_Smidt1) EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants | OpenReview Mapping the conformational dynamics of proteins is crucial for elucidating their functional mechanisms. While Molecular Dynamics (MD) simulation enables... protein dynamics so 3 simulation via https://openreview.net/forum?id=-MK6muf5Ihq Group Equivariant Convolutional Neural Networks for Color Fundus Images Super-Resolution |... Proposed a MSRResNet with Group Equivariant Convolution Neural Networks for fundus images super-resolution convolutional neural networks group equivariant https://openreview.net/forum?id=TyA5AyU_tSv Shape Equivariant Learning for Robust MRI Segmentation | OpenReview We propose learning a discrete shape equivariant embedding space for robust segmentation. learning for shape equivariant robust mri https://openreview.net/forum?id=nAv5ketrHq&referrer=%5Bthe%20profile%20of%20Linfeng%20Zhao%5D(%2Fprofile%3Fid%3D~Linfeng_Zhao1) Hierarchical Equivariant Policy via Frame Transfer | OpenReview Recent advances in hierarchical policy learning highlight the advantages of decomposing systems into high-level and low-level agents, enabling efficient... hierarchical equivariant policy via frame https://openreview.net/forum?id=nBPnmk6EeO Equivariant Deep Weight Space Alignment | OpenReview Permutation symmetries of deep networks make basic operations like model merging and similarity estimation challenging. In many cases, aligning the weights of... weight space equivariant deep alignment openreview https://openreview.net/forum?id=Ax3uliEBVR E(n) Equivariant Topological Neural Networks | OpenReview Graph neural networks excel at modeling pairwise interactions, but they cannot flexibly accommodate higher-order interactions and features. Topological deep... e n neural networks equivariant topological openreview https://arxiv.org/abs/1905.03102 [1905.03102] Rigidity in equivariant algebraic $K$-theory Abstract page for arXiv paper 1905.03102: Rigidity in equivariant algebraic $K$-theory 1905 03102 rigidity equivariant algebraic https://jmlr.org/papers/v26/23-0178.html Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power https://arxiv.org/html/2501.07371v1 Simulating the Hubbard Model with Equivariant Normalizing Flows hubbard model simulating equivariant normalizing flows https://www.deutsche-digitale-bibliothek.de/item/XIOFVFDYVX2G5MBRW4JDPPQ3NNZGY3YA Equivariant cyclic homology - Deutsche Digitale Bibliothek cyclic homology equivariant deutsche digitale bibliothek https://arxiv.org/abs/2407.11103 [2407.11103] PlayMolecule pKAce: Small Molecule Protonation through Equivariant Neural Networks Abstract page for arXiv paper 2407.11103: PlayMolecule pKAce: Small Molecule Protonation through Equivariant Neural Networks small molecule 2407 11103 https://openreview.net/forum?id=2w8j23ZUWC4 Equivariant Representations for Non-Free Group Actions | OpenReview In this work we propose a method for learning data representations that are equivariant with respect to arbitrary and potentially non-free group actions on the... free group equivariant representations non actions https://openreview.net/forum?id=U5nRMOs8Ed SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space | OpenReview Diffusion Policies are effective at learning closed-loop manipulation policies from human demonstrations but generalize poorly to novel arrangements of objects... se 3 fourier space equivariant diffusion policy https://openreview.net/forum?id=6oQDDcW2gY&referrer=%5Bthe%20profile%20of%20Jason%20D.%20Lee%5D(%2Fprofile%3Fid%3D~Jason_D._Lee1) Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding |... Transformers rely on both content-based and position-based addressing mechanisms to make predictions, but existing positional encoding techniques often... in language rethinking addressing models via https://openreview.net/forum?id=UWd4ysACo4 Expressive Sign Equivariant Networks for Spectral Geometric Learning | OpenReview Recent work has shown the utility of developing machine learning models that respect the structure and symmetries of eigenvectors. These works promote sign... expressive sign equivariant networks spectral https://arxiv.org/abs/1908.01201 [1908.01201] The Equivariant Fundamental Groupoid as an Orbifold Invariant Abstract page for arXiv paper 1908.01201: The Equivariant Fundamental Groupoid as an Orbifold Invariant fundamental groupoid 1908 01201 equivariant orbifold https://openreview.net/forum?id=8Fxqn1tZM1 Scale Equivariant Graph Metanetworks | OpenReview This paper pertains to an emerging machine learning paradigm: learning higher- order functions, i.e. functions whose inputs are functions themselves,... scale equivariant graph openreview https://openreview.net/forum?id=2sIVxJ9Hp0 Self-supervised learning of Split Invariant Equivariant representations | OpenReview Recent progress has been made towards learning invariant or equivariant representations with self-supervised learning. While invariant methods are evaluated on... self supervised learning split invariant equivariant representations https://arxiv.org/abs/1208.4052 [1208.4052] Conformally equivariant quantization for spinning particles Abstract page for arXiv paper 1208.4052: Conformally equivariant quantization for spinning particles 1208 4052 equivariant quantization spinning https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2022.786091/full Frontiers | On the Construction of Group Equivariant Non-Expansive Operators via Permutants and... Group equivariant operators are a fundamental tool in the research on neural networks. In this paper we introduce and explore the concept of Group Equivarian... https://arxiv.org/abs/2410.03655 [2410.03655] Geometric Representation Condition Improves Equivariant Molecule Generation Abstract page for arXiv paper 2410.03655: Geometric Representation Condition Improves Equivariant Molecule Generation 2410 03655 geometric representation condition https://openreview.net/forum?id=dDP6m3p9gj&referrer=%5Bthe%20profile%20of%20Maani%20Ghaffari%5D(%2Fprofile%3Fid%3D~Maani_Ghaffari1) SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration | OpenReview Partial point cloud registration is a challenging problem, especially when the robot undergoes a large transformation, causing a significant initial pose error... point cloud registration se 3 https://research.google/pubs/cross-domain-3d-equivariant-image-embeddings/ Cross-Domain 3D Equivariant Image Embeddings cross domain 3d equivariant image embeddings https://openreview.net/forum?id=zgQ0PHeGnL Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction | OpenReview The study of rigid protein-protein docking plays an essential role in a variety of tasks such as drug design and protein engineering. Recently, several... protein docking elliptic paraboloid rigid via equivariant https://flowequivariantworldmodels.github.io/ Flow Equivariant World Models Flow Equivariant World Models maintain an egocentric memory to predict the future dynamic state of the world in video flow equivariant world models https://openreview.net/forum?id=44EoTqkJXn&referrer=%5Bthe%20profile%20of%20Tess%20Smidt%5D(%2Fprofile%3Fid%3D~Tess_Smidt1) DIRECT PREDICTION OF TENSORIAL PROPERTIES WITH EQUIVARIANT MESSAGE-PASSING: APPLICATIONS TO... Accurate machine-learned property prediction enables data-driven design and discovery of a wide range of materials. While prediction of scalar quantum... message passing direct prediction tensorial properties https://deepai.org/publication/mace-higher-order-equivariant-message-passing-neural-networks-for-fast-and-accurate-force-fields MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields |... Jun 15, 2022 - 06/15/22 - Creating fast and accurate force fields is a long-standing challenge in computational chemistry and materials science. Recently, s... https://arxiv.org/abs/1503.02919 [1503.02919] A mirror construction for the big equivariant quantum cohomology of toric manifolds Abstract page for arXiv paper 1503.02919: A mirror construction for the big equivariant quantum cohomology of toric manifolds https://arxiv.org/abs/2412.12237 [2412.12237] Equivariant Action Sampling for Reinforcement Learning and Planning Abstract page for arXiv paper 2412.12237: Equivariant Action Sampling for Reinforcement Learning and Planning reinforcement learning 2412 12237 equivariant action https://openreview.net/forum?id=ajOrOhQOsYx A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels | OpenReview Group equivariant convolutional networks (GCNNs) endow classical convolutional networks with additional symmetry priors, which can lead to a considerably... wigner eckart theorem group equivariant convolution kernels https://arxiv.org/abs/2412.01297 [2412.01297] Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic... Abstract page for arXiv paper 2412.01297: Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning graph neural network 2412 01297 morphological symmetry https://deepai.org/publication/theoretical-guarantees-for-permutation-equivariant-quantum-neural-networks Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks | DeepAI Oct 18, 2022 - 10/18/22 - Despite the great promise of quantum machine learning models, there are several challenges one must overcome before unlocking thei... quantum neural networks theoretical guarantees permutation equivariant https://openreview.net/forum?id=wpzRkAW2Sy Group Equivariance Meets Mechanistic Interpretability: Equivariant Sparse Autoencoders | OpenReview Sparse autoencoders (SAEs) have proven useful in disentangling the opaque activations of neural networks, primarily large language models, into sets of... mechanistic interpretability group equivariance meets equivariant https://arxiv.org/abs/2602.16547 [2602.16547] A Lorentzian Equivariant Index Theorem Abstract page for arXiv paper 2602.16547: A Lorentzian Equivariant Index Theorem 2602 lorentzian equivariant index theorem https://arxiv.org/html/2407.01479v1 EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning https://arxiv.org/abs/2006.08276 [2006.08276] Equivariant Systems Theory and Observer Design Abstract page for arXiv paper 2006.08276: Equivariant Systems Theory and Observer Design systems theory 2006 08276 equivariant observer https://openreview.net/forum?id=KHk5EECG3Z Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a... We present a simple yet effective generative model for time series, based on a Recurrent Variational Autoencoder that we refer to as RVAE-ST. Recurrent layers... generative models https://openreview.net/forum?id=MO1OLAKcsJ Seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models | OpenReview Joint-embedding predictive architecture (JEPA) is a self-supervised learning (SSL) paradigm with the capacity of world modeling via action-conditioned... predictive learning world models seq jepa autoregressive https://openreview.net/forum?id=fSa5IjNMmmi Multi-objective optimization via equivariant deep hypervolume approximation | OpenReview Hypervolume approximation using permutation invariant, scaling equivariant neural network multi objective optimization via equivariant deep hypervolume https://openreview.net/forum?id=VYdjw2oI7O Equivariant Self-supervised Deep Pose Estimation for Cryo EM | OpenReview Reconstructing the 3D volume of a molecule from its differently oriented 2D projections is the central problem of cryo-EM, one of the main techniques for... self supervised pose estimation cryo em equivariant deep https://openreview.net/forum?id=8zWcBUoeR6 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry | OpenReview Extensive work has demonstrated that equivariant neural networks can significantly improve sample efficiency and generalization by enforcing an inductive bias... https://openreview.net/forum?id=rY6mQMW8nS EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs | OpenReview Deep learning surrogates for 3D Partial Differential Equations (PDEs) often fail to generalize across geometric transformations because they depend heavily on... neural operators equivariant geometry informed fourier https://arxiv.org/abs/1712.07532 [1712.07532] An equivariant Hilbert basis theorem Abstract page for arXiv paper 1712.07532: An equivariant Hilbert basis theorem hilbert basis 1712 07532 equivariant theorem https://arxiv.org/abs/1708.06079 [1708.06079] Equivariant localization and completion in cyclic homology and derived loop spaces Abstract page for arXiv paper 1708.06079: Equivariant localization and completion in cyclic homology and derived loop spaces https://deepai.org/publication/the-design-space-of-e-3-equivariant-atom-centered-interatomic-potentials The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials | DeepAI May 13, 2022 - 05/13/22 - The rapid progress of machine learning interatomic potentials over the past couple of years produced a number of new architectures... the design space https://openreview.net/forum?id=sezgRffNiS TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for... We propose a framework to combine strong non-linear expressiveness with strict SO(3)-equivariance in prediction of the electronic-structure Hamiltonian, by... so 3 https://www.ru.nl/en/research/research-projects/an-equivariant-fried-conjecture An equivariant Fried conjecture | Radboud University In this project, we are investigating a version of Fried's conjecture, relating analytic torsion to the Ruelle zeta function, that incorporates symmetries. equivariant fried conjecture radboud university https://openreview.net/forum?id=HJgpugrKPS Scale-Equivariant Steerable Networks | OpenReview The effectiveness of Convolutional Neural Networks (CNNs) has been substantially attributed to their built-in property of translation equivariance. However,... scale equivariant networks openreview https://openreview.net/forum?id=0zlLhfG6rxI Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres |... A physics informed equivariant model to inverse the transmission effects of multi-mode optical fibres. https://equivariantsystems.com/ Equivariant equivariant https://arxiv.org/abs/1711.04201 [1711.04201] Permutation-equivariant quantum K-theory XI. Quantum Adams-Riemann-Roch Abstract page for arXiv paper 1711.04201: Permutation-equivariant quantum K-theory XI. Quantum Adams-Riemann-Roch quantum k 1711 04201 permutation equivariant https://pmc.ncbi.nlm.nih.gov/articles/PMC10583285/ Equivariant Graph Neural Networks for Toxicity Prediction - PMC Predictive modeling of toxicity is a crucial step in the drug discovery pipeline. It can help filter out molecules with a high probability of failing in the... graph neural networks equivariant toxicity prediction pmc https://deepai.org/publication/using-multiple-vector-channels-improves-e-n-equivariant-graph-neural-networks Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks | DeepAI Sep 6, 2023 - 09/06/23 - We present a natural extension to E(n)-equivariant graph neural networks that uses multiple equivariant vectors per node. We formu... graph neural networks https://openreview.net/forum?id=ffElJIzU0B2 Equivariant Graph Hierarchy-based Neural Networks | OpenReview We develop a novel hierarchical structure for equivariant graph networks with expressive message passing. neural networks equivariant graph hierarchy based https://openreview.net/forum?id=WCenI6RU9s A Circular Argument: Does RoPE need to be Equivariant for Vision? | OpenReview Rotary Positional Encodings (RoPE) have emerged as a highly effective technique for one-dimensional sequences in Natural Language Processing spurring recent... circular argument need to https://openreview.net/forum?id=pyySfCzP8F SO(2)-Equivariant Single-View 3D Reconstruction via Gaussian Sculpting Networks | OpenReview This paper introduces SO(2)-Equivariant Gaussian Sculpting Networks as an approach for SO(2)-Equivariant 3D object reconstruction from single-view image... so 2 single view 3d reconstruction https://openreview.net/forum?id=2pAigTVASA&referrer=%5Bthe%20profile%20of%20Yue%20Song%5D(%2Fprofile%3Fid%3D~Yue_Song1) Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning... We present a morphological-symmetry-equivariant heterogeneous graph neural network (MS-HGNN) for robotic dynamics learning. MS-HGNN unifies robotic kinematic... graph neural network morphological symmetry equivariant heterogeneous https://arxiv.org/abs/2408.02325?context=math [2408.02325] Asymptotics of integral points, equivariant compactifications and equidistributions... Abstract page for arXiv paper 2408.02325: Asymptotics of integral points, equivariant compactifications and equidistributions for homogeneous spaces 2408 02325 asymptotics integral points https://arxiv.org/abs/2601.09884 [2601.09884] Multiplicity one for equivariant min-max theory in prescribed homology classes Abstract page for arXiv paper 2601.09884: Multiplicity one for equivariant min-max theory in prescribed homology classes https://www.umu.se/en/events/group--and-gauge-equivariant-cnns_11675113/ Group- and gauge-equivariant CNNs group gauge equivariant cnns https://www.ub.edu/ubtv/index.php/video/variational-discretizations Variational Discretizations of Gauge Field Theories Using Group-Equivariant Interpolation Spaces |... gauge field theories variational discretizations https://deepai.org/publication/equivalence-between-se-3-equivariant-networks-via-steerable-kernels-and-group-convolution Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution | DeepAI Nov 29, 2022 - 11/29/22 - A wide range of techniques have been proposed in recent years for designing neural networks for 3D data that are equivariant under... https://openreview.net/forum?id=JkfYjnOEo6M Group Equivariant Stand-Alone Self-Attention For Vision | OpenReview We provide a general self-attention formulation to impose group equivariance to arbitrary symmetry groups. This is achieved by defining positional encodings... stand alone self attention group equivariant vision https://openreview.net/forum?id=bh8dw3guwY&referrer=%5Bthe%20profile%20of%20Jixian%20Zhang%5D(%2Fprofile%3Fid%3D~Jixian_Zhang1) DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant... While significant advances have been made in predicting static protein structures, the inherent dynamics of proteins, modulated by ligands, are crucial for... protein complex with a predicting ligand specific https://openreview.net/forum?id=a3NaSCJ20V Equivariant Grasp learning In Real Time | OpenReview Visual grasp detection is a key problem in robotics where the agent must learn to model the grasp function, a mapping from an image of a scene onto a set of... in real time equivariant grasp learning openreview https://arxiv.org/abs/2306.15030 [2306.15030] Equivariant flow matching Abstract page for arXiv paper 2306.15030: Equivariant flow matching 2306 15030 equivariant flow matching https://arxiv.org/abs/2110.07695 [2110.07695] Universal Spaces and Splittings of Equivariant Spectra Abstract page for arXiv paper 2110.07695: Universal Spaces and Splittings of Equivariant Spectra 2110 07695 universal spaces splittings https://openreview.net/forum?id=Im6lEFiROpp Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can... We compute the expressivity of deep neural networks under the geometric constraint of equivariance https://www.mdpi.com/2075-1680/13/3/160 A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks Machine learning algorithms are heavily relied on to understand the vast amounts of data from high-energy particle collisions at the CERN Large Hadron Collider... a comparison quantum graph invariant https://openreview.net/forum?id=RAyRXQjsFl Separation Power of Equivariant Neural Networks | OpenReview The separation power of a machine learning model refers to its ability to distinguish between different inputs and is often used as a proxy for its... neural networks separation power equivariant openreview https://openreview.net/forum?id=HRDRZNxQXc FAENet: Frame Averaging Equivariant GNN for Materials Modeling | OpenReview Applications of machine learning techniques for materials modeling typically involve functions that are known to be equivariant or invariant to specific... frame averaging equivariant gnn materials https://openreview.net/forum?id=hYxZJycvrz Integration-free Kernels for Equivariant Gaussian Process Modelling | OpenReview We study the incorporation of equivariances into vector-valued GPs and more general classes of random field models. While kernels guaranteeing equivariances... gaussian process integration free kernels equivariant