Imagen de Portada

Higher-Order DeepTrails: Unified Approach to *Trails

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Koopmann, Tobias, Pfister, Jan, Markus, André, Carolus, Astrid, Wienrich, Carolin, Hotho, Andreas
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LLäMmlein: Transparent, Compact and Competitive German-Only Language Models from Scratch
por: Pfister, Jan, et al.
Publicado: (2024)

New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models
por: Wunderle, Julia, et al.
Publicado: (2025)

Objective Measurement of AI Literacy: Development and Validation of the AI Competency Objective Scale (AICOS)
por: Markus, André, et al.
Publicado: (2025)

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling
por: Grooten, Bram, et al.
Publicado: (2025)

Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs
por: Hohensinner, Richard, et al.
Publicado: (2026)

Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM
por: Kowsher, Md., et al.
Publicado: (2024)

Spectral Higher-Order Neural Networks
por: Peri, Gianluca, et al.
Publicado: (2026)

Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management
por: Ahmed, Faizan, et al.
Publicado: (2026)

Higher-Order Knowledge Representations for Agentic Scientific Reasoning
por: Stewart, Isabella A., et al.
Publicado: (2026)

BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs
por: Völker, Tom, et al.
Publicado: (2024)

Higher-Order Transformers With Kronecker-Structured Attention
por: Omranpour, Soroush, et al.
Publicado: (2024)

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
por: Fan, Mingfeng, et al.
Publicado: (2025)

Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions
por: Zhao, Kyrie, et al.
Publicado: (2026)

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
por: Han, Donghee, et al.
Publicado: (2025)

Generative Correlation Manifolds: Generating Synthetic Data with Preserved Higher-Order Correlations
por: d'Hondt, Jens E., et al.
Publicado: (2025)

OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
por: Wang, Juntong, et al.
Publicado: (2025)

Hierarchical Zero-Order Optimization for Deep Neural Networks
por: Cao, Sansheng, et al.
Publicado: (2026)

Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactions
por: Giusti, Lorenzo
Publicado: (2024)

IoMT-based Automated Leukemia Classification using CNN and Higher Order Singular Value
por: Marzijarani, Shabnam Bagheri, et al.
Publicado: (2025)

Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
por: Kivva, Yaroslav, et al.
Publicado: (2025)

Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation
por: Li, Zongshuo, et al.
Publicado: (2024)

CCMamba: Topologically-Informed Selective State-Space Networks on Combinatorial Complexes for Higher-Order Graph Learning
por: Chen, Jiawen, et al.
Publicado: (2026)

CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
por: Buffelli, Davide, et al.
Publicado: (2024)

Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
por: Li, Xiaoyu, et al.
Publicado: (2025)

GPT-2 Through the Lens of Vector Symbolic Architectures
por: Knittel, Johannes, et al.
Publicado: (2024)

Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement
por: Wu, Keshu, et al.
Publicado: (2026)

The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning
por: Fröhlich, Johanna S., et al.
Publicado: (2026)

Demystifying Higher-Order Graph Neural Networks
por: Besta, Maciej, et al.
Publicado: (2024)

On the Laplace Approximation as Model Selection Criterion for Gaussian Processes
por: Besginow, Andreas, et al.
Publicado: (2024)

An Invitation to Deep Reinforcement Learning
por: Jaeger, Bernhard, et al.
Publicado: (2023)

Generalized Preference Optimization: A Unified Approach to Offline Alignment
por: Tang, Yunhao, et al.
Publicado: (2024)

Generative Distribution Prediction: A Unified Approach to Multimodal Learning
por: Tian, Xinyu, et al.
Publicado: (2025)

A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations
por: Artelt, André, et al.
Publicado: (2024)

UrbanPulse: A Cross-City Deep Learning Framework for Ultra-Fine-Grained Population Transfer Prediction
por: Yang, Hongrong, et al.
Publicado: (2025)

SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection
por: Moser, Brian B., et al.
Publicado: (2025)

LANISTR: Multimodal Learning from Structured and Unstructured Data
por: Ebrahimi, Sayna, et al.
Publicado: (2023)

Neural Polar Decoders for Deletion Channels
por: Aharoni, Ziv, et al.
Publicado: (2025)

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
por: Frohmann, Markus, et al.
Publicado: (2023)

Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
por: Xie, Zheng, et al.
Publicado: (2023)

Unifying Sign and Magnitude for Optimizing Deep Vision Networks via ThermoLion
por: Nebli, Ahmed
Publicado: (2025)