:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Eckert, Jordan, Ceyhan, Elvan, Schenck, Henry
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2511.04873
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Stochastic Path Planning in Correlated Obstacle Fields
di: Zhou, Li, et al.
Pubblicazione: (2025)

Outlyingness Scores with Cluster Catch Digraphs
di: Shi, Rui, et al.
Pubblicazione: (2025)

Outlier Detection with Cluster Catch Digraphs
di: Shi, Rui, et al.
Pubblicazione: (2024)

Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
di: Shi, Rui, et al.
Pubblicazione: (2025)

Solving the Constrained Random Disambiguation Path Problem via Lagrangian Relaxation and Graph Reduction
di: Zhou, Li, et al.
Pubblicazione: (2025)

Unsupervised Learning and Representation of Mandarin Tonal Categories by a Generative CNN
di: Schenck, Kai, et al.
Pubblicazione: (2025)

Adversarial Obstacle Placement with Spatial Point Processes for Optimal Path Disruption
di: Zhou, Li, et al.
Pubblicazione: (2025)

G-PCGRL: Procedural Graph Data Generation via Reinforcement Learning
di: Rupp, Florian, et al.
Pubblicazione: (2024)

Sparse Portfolio Selection via Topological Data Analysis based Clustering
di: Goel, Anubha, et al.
Pubblicazione: (2024)

ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
di: Jiang, Xiangjian, et al.
Pubblicazione: (2023)

Adversarial Graph Traversal
di: Banks, David, et al.
Pubblicazione: (2026)

Linear Transformer Topological Masking with Graph Random Features
di: Reid, Isaac, et al.
Pubblicazione: (2024)

Level the Level: Balancing Game Levels for Asymmetric Player Archetypes With Reinforcement Learning
di: Rupp, Florian, et al.
Pubblicazione: (2025)

Principal Prototype Analysis on Manifold for Interpretable Reinforcement Learning
di: Vamshi, Bodla Krishna, et al.
Pubblicazione: (2026)

High-dimensional Analysis of Synthetic Data Selection
di: Rezaei, Parham, et al.
Pubblicazione: (2025)

A General Framework for Estimating Preferences Using Response Time Data
di: Echenique, Federico, et al.
Pubblicazione: (2025)

NeurIPS 2024 Ariel Data Challenge: Characterisation of Exoplanetary Atmospheres Using a Data-Centric Approach
di: Blanchard, Jeremie, et al.
Pubblicazione: (2025)

Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
di: Rupp, Florian, et al.
Pubblicazione: (2025)

Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification
di: Valero-Mas, Jose J., et al.
Pubblicazione: (2022)

Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy
di: Cho, Young Hyun, et al.
Pubblicazione: (2026)

Data Selection for LLM Alignment Using Fine-Grained Preferences
di: Zhang, Jia, et al.
Pubblicazione: (2025)

LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data
di: Wang, Peng, et al.
Pubblicazione: (2025)

ProtoSSL: Interpretable Prototype Learning from Unlabeled Time-Series Data
di: Song, Steven, et al.
Pubblicazione: (2026)

Euler Characteristic Tools For Topological Data Analysis
di: Hacquard, Olympio, et al.
Pubblicazione: (2023)

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

Topological Eigenvalue Theorems for Tensor Analysis in Multi-Modal Data Fusion
di: Katende, Ronald
Pubblicazione: (2024)

Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method
di: Sit, Hilarie, et al.
Pubblicazione: (2024)

PIME: Prototype-based Interpretable MCTS-Enhanced Brain Network Analysis for Disorder Diagnosis
di: Zhang, Kunyu, et al.
Pubblicazione: (2026)

CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining
di: Liu, I-Chun Arthur, et al.
Pubblicazione: (2026)

Explaining the Power of Topological Data Analysis in Graph Machine Learning
di: Taiwo, Funmilola Mary, et al.
Pubblicazione: (2024)

Topological Data Analysis in smart manufacturing: State of the art and futuredirections
di: Uray, Martin, et al.
Pubblicazione: (2023)

Mitigating Label Noise on Graph via Topological Sample Selection
di: Wu, Yuhao, et al.
Pubblicazione: (2024)

Personalized Fall Detection by Balancing Data with Selective Feedback Using Contrastive Learning
di: Yasmin, Awatif, et al.
Pubblicazione: (2026)

Data Collaboration Analysis with Orthonormal Basis Selection and Alignment
di: Nosaka, Keiyu, et al.
Pubblicazione: (2024)

COMIX: Compositional Explanations using Prototypes
di: Sivaprasad, Sarath, et al.
Pubblicazione: (2025)

Quantum Harmonic Analysis and the Structure in Data: Augmentation
di: Doerfler, Monika, et al.
Pubblicazione: (2025)

Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
di: Liang, Chao, et al.
Pubblicazione: (2025)

Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
di: Kong, Dexu, et al.
Pubblicazione: (2024)

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
di: Huang, Xinlei, et al.
Pubblicazione: (2024)

Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
di: Spooner, Annette, et al.
Pubblicazione: (2022)