Imagen de Portada

SE(3)-Hyena Operator for Scalable Equivariant Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Moskalev, Artem, Prakash, Mangal, Liao, Rui, Mansi, Tommaso
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Geometric Hyena Networks for Large-scale Equivariant Learning
por: Moskalev, Artem, et al.
Publicado: (2025)

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
por: Xu, Junjie, et al.
Publicado: (2024)

HyperHELM: Hyperbolic Hierarchy Encoding for mRNA Language Modeling
por: van Spengler, Max, et al.
Publicado: (2025)

HELM: Hierarchical Encoding for mRNA Language Modeling
por: Yazdani-Jahromi, Mehdi, et al.
Publicado: (2024)

InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference
por: Cui, Tianyu, et al.
Publicado: (2025)

BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models
por: Mollaysa, Amina, et al.
Publicado: (2025)

BioBO: Biology-informed Bayesian Optimization for Perturbation Design
por: Li, Yanke, et al.
Publicado: (2025)

GRAM-DTI: adaptive multimodal representation learning for drug target interaction prediction
por: Jiang, Feng, et al.
Publicado: (2025)

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence
por: Jiang, Feng, et al.
Publicado: (2025)

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
por: Amirabad, Azim Dehghani, et al.
Publicado: (2025)

Probing Equivariance and Symmetry Breaking in Convolutional Networks
por: Vadgama, Sharvaree, et al.
Publicado: (2025)

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
por: Xu, Junjie, et al.
Publicado: (2025)

DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
por: Siguenza, Jose, et al.
Publicado: (2025)

SCADE: Scalable Framework for Anomaly Detection in High-Performance System
por: Vinay, Vaishali, et al.
Publicado: (2024)

SE(3) Equivariant Augmented Coupling Flows
por: Midgley, Laurence I., et al.
Publicado: (2023)

Scavenging Hyena: Distilling Transformers into Long Convolution Models
por: Ralambomihanta, Tokiniaina Raharison, et al.
Publicado: (2024)

SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey
por: Seo, Joohwan, et al.
Publicado: (2025)

EqvAfford: SE(3) Equivariance for Point-Level Affordance Learning
por: Chen, Yue, et al.
Publicado: (2024)

EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers
por: Liao, Yi-Lun, et al.
Publicado: (2026)

MARA: Continuous SE(3)-Equivariant Attention for Molecular Force Fields
por: Leonardi, Francesco, et al.
Publicado: (2026)

DyKen-Hyena: Dynamic Kernel Generation via Cross-Modal Attention for Multimodal Intent Recognition
por: Wang, Yifei, et al.
Publicado: (2025)

Limits of Resolution Equivariance in Fourier Neural Operators
por: Colagrande, Alex, et al.
Publicado: (2026)

SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation
por: Xue, Fanglei, et al.
Publicado: (2025)

EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks
por: Dang, Tien, et al.
Publicado: (2025)

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
por: Eisner, Ben, et al.
Publicado: (2024)

Towards Adaptive Deep Learning: Model Elasticity via Prune-and-Grow CNN Architectures
por: Mangal, Pooja, et al.
Publicado: (2025)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
por: Nguyen, Ngoc-Quang
Publicado: (2025)

E3STO: Orbital Inspired SE(3)-Equivariant Molecular Representation for Electron Density Prediction
por: Mitnikov, Ilan, et al.
Publicado: (2024)

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
por: Nikulin, Alexander, et al.
Publicado: (2023)

An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning
por: Jiao, Rui, et al.
Publicado: (2024)

ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy
por: Tie, Chenrui, et al.
Publicado: (2024)

PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
por: Suri, Dhruv, et al.
Publicado: (2025)

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
por: Zholus, Artem, et al.
Publicado: (2024)

Equivariant Graph Neural Operator for Modeling 3D Dynamics
por: Xu, Minkai, et al.
Publicado: (2024)

Relaxed Equivariant Graph Neural Networks
por: Hofgard, Elyssa, et al.
Publicado: (2024)

Approximate Equivariance in Reinforcement Learning
por: Park, Jung Yeon, et al.
Publicado: (2024)

An Equivariance Toolbox for Learning Dynamics
por: Yang, Yongyi, et al.
Publicado: (2025)

Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
por: Cheng, Pengcheng
Publicado: (2026)

Training Dynamics of Learning 3D-Rotational Equivariance
por: Shen, Max W., et al.
Publicado: (2025)

Precoder Learning by Leveraging Unitary Equivariance Property
por: Ge, Yilun, et al.
Publicado: (2025)