Copertina

Consistent Spectral Clustering in Hyperbolic Spaces

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ghosh, Sagar, Das, Swagatam
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks
di: Ghosh, Sagar, et al.
Pubblicazione: (2024)

Transformers Are Universally Consistent
di: Ghosh, Sagar, et al.
Pubblicazione: (2025)

Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering
di: Das, Swagato, et al.
Pubblicazione: (2025)

Hyperbolic Gaussian Blurring Mean Shift: A Statistical Mode-Seeking Framework for Clustering in Curved Spaces
di: Pratihar, Arghya, et al.
Pubblicazione: (2025)

A New Framework for Convex Clustering in Kernel Spaces: Finite Sample Bounds, Consistency and Performance Insights
di: Pan, Shubhayan, et al.
Pubblicazione: (2025)

Learning from Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges
di: Bose, Kushal, et al.
Pubblicazione: (2025)

Self-Tuning Spectral Clustering for Speaker Diarization
di: Raghav, Nikhil, et al.
Pubblicazione: (2024)

A Free Probabilistic Framework for Analyzing the Transformer-based Language Models
di: Das, Swagatam
Pubblicazione: (2025)

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
di: De, Sourav, et al.
Pubblicazione: (2025)

A Free Probabilistic Framework for Denoising Diffusion Models: Entropy, Transport, and Reverse Processes
di: Das, Swagatam
Pubblicazione: (2025)

Topology-Driven Clustering: Enhancing Performance with Betti Number Filtration
di: Pratihar, Arghya, et al.
Pubblicazione: (2025)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
di: Gupta, Avisek, et al.
Pubblicazione: (2018)

MK-SGC-SC: Multiple Kernel Guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarization
di: Raghav, Nikhil, et al.
Pubblicazione: (2026)

Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning
di: Roy, Srinjoy, et al.
Pubblicazione: (2024)

Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks
di: Bose, Kushal, et al.
Pubblicazione: (2025)

Grounding the Ungrounded: A Spectral-Graph Framework for Quantifying Hallucinations in Multimodal LLMs
di: Sarkar, Supratik, et al.
Pubblicazione: (2025)

Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
di: Basu, Supratik, et al.
Pubblicazione: (2023)

On Robust Cross Domain Alignment
di: Chakrabarty, Anish, et al.
Pubblicazione: (2024)

Rebalancing with Calibrated Sub-classes (RCS): A Statistical Fusion-based Framework for Robust Imbalanced Classification across Modalities
di: Mondal, Priyobrata, et al.
Pubblicazione: (2025)

Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
di: Dutta, Debanjan, et al.
Pubblicazione: (2025)

APFEx: Adaptive Pareto Front Explorer for Intersectional Fairness
di: Mondal, Priyobrata, et al.
Pubblicazione: (2025)

Relation-Aware Slicing in Cross-Domain Alignment
di: Sarkar, Dhruv, et al.
Pubblicazione: (2025)

ASIL: Augmented Structural Information Learning for Deep Graph Clustering in Hyperbolic Space
di: Sun, Li, et al.
Pubblicazione: (2025)

Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
di: Datta, Shounak, et al.
Pubblicazione: (2017)

On the Existence of Universal Simulators of Attention
di: Dutta, Debanjan, et al.
Pubblicazione: (2025)

MHARFedLLM: Multimodal Human Activity Recognition Using Federated Large Language Model
di: Bandyopadhyay, Asmit, et al.
Pubblicazione: (2025)

Exploring Green AI for Audio Deepfake Detection
di: Saha, Subhajit, et al.
Pubblicazione: (2024)

TCG CREST System Description for the Second DISPLACE Challenge
di: Raghav, Nikhil, et al.
Pubblicazione: (2024)

Hyperbolic Continuous Structural Entropy for Hierarchical Clustering
di: Zeng, Guangjie, et al.
Pubblicazione: (2025)

Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering
di: Lu, Mingdong, et al.
Pubblicazione: (2026)

Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
di: Zhao, Jialin, et al.
Pubblicazione: (2024)

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
di: Yue, Juwei, et al.
Pubblicazione: (2025)

Reinforcement Learning in Hyperbolic Spaces: Models and Experiments
di: Jaćimović, Vladimir, et al.
Pubblicazione: (2024)

Learning Protein-Ligand Binding in Hyperbolic Space
di: Wang, Jianhui, et al.
Pubblicazione: (2025)

Generative Kernel Spectral Clustering
di: Winant, David, et al.
Pubblicazione: (2025)

Semi-Supervised Hyperbolic Hierarchical Clustering with Set-Level Structural Priors
di: Zheng, Junjing, et al.
Pubblicazione: (2026)

Distribution Matching via Generalized Consistency Models
di: Shrestha, Sagar, et al.
Pubblicazione: (2025)

Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions
di: Sochaniwsky, Alexa A., et al.
Pubblicazione: (2019)

Cluster Quilting: Spectral Clustering for Patchwork Learning
di: Zheng, Lili, et al.
Pubblicazione: (2024)

SpectralNet: Spectral Clustering using Deep Neural Networks
di: Shaham, Uri, et al.
Pubblicazione: (2018)