Imagen de Portada

Hyperbolic Delaunay Geometric Alignment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Medbouhi, Aniss Aiman, Marchetti, Giovanni Luca, Polianskii, Vladislav, Kravberg, Alexander, Poklukar, Petra, Varava, Anastasia, Kragic, Danica
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

Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence
por: Polianskii, Vladislav, et al.
Publicado: (2022)

Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
por: Medbouhi, Aniss Aiman, et al.
Publicado: (2025)

HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees
por: García-Castellanos, Alejandro, et al.
Publicado: (2024)

Relative Representations: Topological and Geometric Perspectives
por: García-Castellanos, Alejandro, et al.
Publicado: (2024)

Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks
por: Marchetti, Giovanni Luca, et al.
Publicado: (2023)

Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks
por: Reichlin, Alfredo, et al.
Publicado: (2025)

Learning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach
por: Friedl, Katharina, et al.
Publicado: (2025)

Interactive Perception for Deformable Object Manipulation
por: Weng, Zehang, et al.
Publicado: (2024)

A Non-Adversarial Approach to Idempotent Generative Modelling
por: Al-Jaff, Mohammed, et al.
Publicado: (2025)

Goal-Conditioned Reinforcement Learning from Sub-Optimal Data on Metric Spaces
por: Reichlin, Alfredo, et al.
Publicado: (2024)

Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RL
por: Reichlin, Alfredo, et al.
Publicado: (2026)

DexDiffuser: Generating Dexterous Grasps with Diffusion Models
por: Weng, Zehang, et al.
Publicado: (2024)

A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
por: Friedl, Katharina, et al.
Publicado: (2024)

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
por: Marchetti, Giovanni Luca, et al.
Publicado: (2023)

Can Transformers Smell Like Humans?
por: Taleb, Farzaneh, et al.
Publicado: (2024)

Humans Coexist, So Must Embodied Artificial Agents
por: Kuehn, Hannah, et al.
Publicado: (2025)

A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models
por: Ingelhag, Nils, et al.
Publicado: (2024)

Real-Time Operator Takeover for Visuomotor Diffusion Policy Training
por: Moletta, Marco, et al.
Publicado: (2025)

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks
por: Reichlin, Alfredo, et al.
Publicado: (2024)

XQCfD: Accelerating Fast Actor-Critic Algorithms with Prior Data and Prior Policies
por: Palenicek, Daniel, et al.
Publicado: (2026)

Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
por: Lu, Haofei, et al.
Publicado: (2025)

On the Geometry and Optimization of Polynomial Convolutional Networks
por: Shahverdi, Vahid, et al.
Publicado: (2024)

Learning on a Razor's Edge: Identifiability and Singularity of Polynomial Neural Networks
por: Shahverdi, Vahid, et al.
Publicado: (2025)

Gatekeeper: Improving Model Cascades Through Confidence Tuning
por: Rabanser, Stephan, et al.
Publicado: (2025)

Geometry of Lightning Self-Attention: Identifiability and Dimension
por: Henry, Nathan W., et al.
Publicado: (2024)

BRAVE: Broadening the visual encoding of vision-language models
por: Kar, Oğuzhan Fatih, et al.
Publicado: (2024)

Critical Points of Degenerate Metrics on Algebraic Varieties: A Tale of Overparametrization
por: Marchetti, Giovanni Luca, et al.
Publicado: (2025)

Human-Aligned Image Models Improve Visual Decoding from the Brain
por: Rajabi, Nona, et al.
Publicado: (2025)

Sequential Group Composition: A Window into the Mechanics of Deep Learning
por: Marchetti, Giovanni Luca, et al.
Publicado: (2026)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation
por: Fu, Xingcheng, et al.
Publicado: (2024)

LM2D: Lyrics- and Music-Driven Dance Synthesis
por: Yin, Wenjie, et al.
Publicado: (2024)

AnalogNAS-Bench: A NAS Benchmark for Analog In-Memory Computing
por: Bessalah, Aniss, et al.
Publicado: (2025)

Identifiable Equivariant Networks are Layerwise Equivariant
por: Shahverdi, Vahid, et al.
Publicado: (2026)

SCENT: Aligning Mass Spectra with Molecular Structure for Olfactory Perception
por: Zhang, Ziqi, et al.
Publicado: (2026)

FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
por: Marta, Daniel, et al.
Publicado: (2025)

Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry
por: Marchetti, Giovanni Luca, et al.
Publicado: (2025)

Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
por: Jaquier, Noémie, et al.
Publicado: (2023)

Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
por: Yusupov, Viacheslav, et al.
Publicado: (2025)

Hyperbolic Graph Neural Networks Under the Microscope: The Role of Geometry-Task Alignment
por: Naddeo, Dionisia, et al.
Publicado: (2026)

Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations
por: Mueller, Marshall, et al.
Publicado: (2024)