Copertina

ACEV: Unsupervised Intersecting Manifold Segmentation using Adaptation to Angular Change of Eigenvectors in Intrinsic Dimension

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Boral, Subhadip, Pal, Rikathi, Ghosh, Ashish
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computational Geometry
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Recovering Manifold Structure Using Ollivier-Ricci Curvature
di: Saidi, Tristan Luca, et al.
Pubblicazione: (2024)

Pullback Flow Matching on Data Manifolds
di: de Kruiff, Friso, et al.
Pubblicazione: (2024)

The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws
di: Zaher, Eslam, et al.
Pubblicazione: (2026)

Field-Theoretic Memory for AI Agents: Continuous Dynamics for Context Preservation
di: Mitra, Subhadip
Pubblicazione: (2026)

EMP: Effective Multidimensional Persistence for Graph Representation Learning
di: Segovia-Dominguez, Ignacio, et al.
Pubblicazione: (2024)

Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
di: Wei, Ziquan, et al.
Pubblicazione: (2024)

Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
di: Pan, Jie, et al.
Pubblicazione: (2022)

Euclidean Embedding of Data Using Local Distances
di: Arabadjis, Dimitris
Pubblicazione: (2026)

Generating Diverse TSP Tours via a Combination of Graph Pointer Network and Dispersion
di: Yang, Hao-Tsung, et al.
Pubblicazione: (2026)

Learning Pareto-Optimal Rewards from Noisy Preferences: A Framework for Multi-Objective Inverse Reinforcement Learning
di: Cherukuri, Kalyan, et al.
Pubblicazione: (2025)

From Theory to Throughput: CUDA-Optimized APML for Large-Batch 3D Learning
di: Sharifipour, Sasan, et al.
Pubblicazione: (2025)

Topology-Preserving Neural Operator Learning via Hodge Decomposition
di: Zheng, Dongzhe, et al.
Pubblicazione: (2026)

Less is More: Local Intrinsic Dimensions of Contextual Language Models
di: Ruppik, Benjamin Matthias, et al.
Pubblicazione: (2025)

Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story
di: Pedashenko, Vladislav, et al.
Pubblicazione: (2025)

Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
di: McCutcheon, Luc, et al.
Pubblicazione: (2025)

Radial Compensation: Fixing Radius Distortion in Chart-Based Generative Models on Riemannian Manifolds
di: Papamichalis, Marios, et al.
Pubblicazione: (2025)

BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages
di: Maji, Subhadip, et al.
Pubblicazione: (2026)

Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
di: Sinha, Shiven, et al.
Pubblicazione: (2024)

On Convolutions, Intrinsic Dimension, and Diffusion Models
di: Leung, Kin Kwan, et al.
Pubblicazione: (2025)

Panoptic Segmentation and Labelling of Lumbar Spine Vertebrae using Modified Attention Unet
di: Pal, Rikathi, et al.
Pubblicazione: (2024)

Transfer Learning from Foundational Optimization Embeddings to Unsupervised SAT Representations
di: Pal, Koyena, et al.
Pubblicazione: (2026)

Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds
di: Li, Yibang, et al.
Pubblicazione: (2026)

Topological Data Analysis for Unsupervised Anomaly Detection and Customer Segmentation on Banking Data
di: Barberi, Leonardo Aldo Alejandro, et al.
Pubblicazione: (2025)

Gradient Harmonization in Unsupervised Domain Adaptation
di: Huang, Fuxiang, et al.
Pubblicazione: (2024)

Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation
di: Das, Devleena, et al.
Pubblicazione: (2025)

Concept-Based Unsupervised Domain Adaptation
di: Xu, Xinyue, et al.
Pubblicazione: (2025)

Geometry of naturalistic object representations in recurrent neural network models of working memory
di: Lei, Xiaoxuan, et al.
Pubblicazione: (2024)

Sum of Squares Circuits
di: Loconte, Lorenzo, et al.
Pubblicazione: (2024)

The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology
di: Fay, Aideen, et al.
Pubblicazione: (2025)

Topological Signatures of ReLU Neural Network Activation Patterns
di: Bosca, Vicente, et al.
Pubblicazione: (2025)

Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning
di: Hugessen, Adriana, et al.
Pubblicazione: (2024)

TopoAlign: Topology-Aware Visual Representation Alignment
di: Yan, Xinyuan, et al.
Pubblicazione: (2026)

Causal Unsupervised Semantic Segmentation
di: Kim, Junho, et al.
Pubblicazione: (2023)

LoRA+: Efficient Low Rank Adaptation of Large Models
di: Hayou, Soufiane, et al.
Pubblicazione: (2024)

From Pixels to Components: Eigenvector Masking for Visual Representation Learning
di: Bizeul, Alice, et al.
Pubblicazione: (2025)

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
di: Zhang, Ruiyi, et al.
Pubblicazione: (2024)

Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
di: Chen, Hongxu, et al.
Pubblicazione: (2026)

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
di: Zhang, Xuzhe, et al.
Pubblicazione: (2023)

Adversarially Trained Object Detector for Unsupervised Domain Adaptation
di: Fujii, Kazuma, et al.
Pubblicazione: (2021)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
di: Liu, Meihan, et al.
Pubblicazione: (2024)