:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shewchuk, Jonathan Richard, Bhattacharya, Sagnik
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computational Geometry
Accès en ligne:	https://arxiv.org/abs/2404.14855
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Better Sampling Bounds for Restricted Delaunay Triangulations and a Star-Shaped Property for Restricted Voronoi Cells
par: Shewchuk, Jonathan Richard
Publié: (2026)

Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups
par: Kohn, Kathlén, et autres
Publié: (2023)

On a Geometry of Interbrain Networks
par: Hinrichs, Nicolás, et autres
Publié: (2025)

Estimate of the Neural Network Dimension using Algebraic Topology and Lie Theory
par: Melodia, Luciano, et autres
Publié: (2020)

The Riemannian Geometry Associated to Gradient Flows of Linear Convolutional Networks
par: Achour, El Mehdi, et autres
Publié: (2025)

The Geometry of Polynomial Group Convolutional Neural Networks
par: Hendi, Yacoub, et autres
Publié: (2026)

Linear-Size Neural Network Representation of Piecewise Affine Functions in $\mathbb{R}^2$
par: Zanotti, Leo
Publié: (2025)

Rapid and Precise Topological Comparison with Merge Tree Neural Networks
par: Qin, Yu, et autres
Publié: (2024)

Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry
par: Thordsen, Erik, et autres
Publié: (2024)

Online Epsilon Net and Piercing Set for Geometric Concepts
par: Bhore, Sujoy, et autres
Publié: (2024)

LINSCAN -- A Linearity Based Clustering Algorithm
par: Dennehy, Andrew, et autres
Publié: (2024)

Geometry-Aware Simplicial Message Passing
par: Wang, Elena Xinyi, et autres
Publié: (2026)

Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs
par: Ma, Guanqun, et autres
Publié: (2025)

On the Geometry and Optimization of Polynomial Convolutional Networks
par: Shahverdi, Vahid, et autres
Publié: (2024)

Neural Approximation of Generalized Voronoi Diagrams
par: Rigas, Panagiotis, et autres
Publié: (2026)

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
par: Borde, Haitz Sáez de Ocáriz, et autres
Publié: (2023)

Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
par: Sinha, Shiven, et autres
Publié: (2024)

Provable Non-Convex Euclidean Distance Matrix Completion: Geometry, Reconstruction, and Robustness
par: Smith, Chandler, et autres
Publié: (2025)

Word2VecGD: Neural Graph Drawing with Cosine-Stress Optimization
par: Yang, Minglai, et autres
Publié: (2025)

A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on $n$-dimensional Classes
par: Benfenati, Alessandro, et autres
Publié: (2024)

Ratio Covers of Convex Sets and Optimal Mixture Density Estimation
par: Compton, Spencer, et autres
Publié: (2026)

Accelerating Material Property Prediction using Generically Complete Isometry Invariants
par: Balasingham, Jonathan, et autres
Publié: (2024)

CWFBind: Geometry-Awareness for Fast and Accurate Protein-Ligand Docking
par: Jia, Liyan, et autres
Publié: (2025)

Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
par: Zaher, Eslam, et autres
Publié: (2024)

Hierarchical Neural Surfaces for 3D Mesh Compression
par: Pentapati, Sai Karthikey, et autres
Publié: (2025)

Hardness of High-Dimensional Linear Classification
par: Munteanu, Alexander, et autres
Publié: (2026)

Topological Signatures of ReLU Neural Network Activation Patterns
par: Bosca, Vicente, et autres
Publié: (2025)

Neural Feature Geometry Evolves as Discrete Ricci Flow
par: Hehl, Moritz, et autres
Publié: (2025)

Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
par: Marciano, Antonino, et autres
Publié: (2022)

Tropical Expressivity of Neural Networks
par: Lezeau, Paul, et autres
Publié: (2024)

Linear time small coresets for k-mean clustering of segments with applications
par: Denisov, David, et autres
Publié: (2025)

Geodesics in the Deep Linear Network
par: Chen, Alan
Publié: (2025)

Persistent Homology as Stopping-Criterion for Voronoi Interpolation
par: Melodia, Luciano, et autres
Publié: (2019)

Robustness Verification of Polynomial Neural Networks
par: Alexandr, Yulia, et autres
Publié: (2026)

GeoHNNs: Geometric Hamiltonian Neural Networks
par: Aboussalah, Amine Mohamed, et autres
Publié: (2025)

Topology-Preserving Neural Operator Learning via Hodge Decomposition
par: Zheng, Dongzhe, et autres
Publié: (2026)

Geometry of naturalistic object representations in recurrent neural network models of working memory
par: Lei, Xiaoxuan, et autres
Publié: (2024)

Geometry of Polynomial Neural Networks
par: Kubjas, Kaie, et autres
Publié: (2024)

Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
par: Vats, Vibhas, et autres
Publié: (2025)

Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
par: Diepeveen, Willem, et autres
Publié: (2024)