Guardado en:
| Autores principales: | Stresec, Ivan, Gonçalves, Joana P. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2509.21149 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
por: Tepeli, Yasin I., et al.
Publicado: (2024)
por: Tepeli, Yasin I., et al.
Publicado: (2024)
Bridging Explainability and Embeddings: BEE Aware of Spuriousness
por: Păduraru, Cristian Daniel, et al.
Publicado: (2024)
por: Păduraru, Cristian Daniel, et al.
Publicado: (2024)
LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
por: Ipas, Oroel, et al.
Publicado: (2026)
por: Ipas, Oroel, et al.
Publicado: (2026)
Graph Counterfactual Explainable AI via Latent Space Traversal
por: Hansen, Andreas Abildtrup, et al.
Publicado: (2025)
por: Hansen, Andreas Abildtrup, et al.
Publicado: (2025)
Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning
por: Li, Zhuoran, et al.
Publicado: (2024)
por: Li, Zhuoran, et al.
Publicado: (2024)
From Latent Space to Training Data: Explainable Specialization in Minimal MLPs
por: Alba, Enrique, et al.
Publicado: (2026)
por: Alba, Enrique, et al.
Publicado: (2026)
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
por: Guarrasi, Valerio, et al.
Publicado: (2022)
por: Guarrasi, Valerio, et al.
Publicado: (2022)
Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
por: Kłopotek, Mieczysław A., et al.
Publicado: (2025)
por: Kłopotek, Mieczysław A., et al.
Publicado: (2025)
Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences
por: Sakhno, Artem, et al.
Publicado: (2026)
por: Sakhno, Artem, et al.
Publicado: (2026)
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
por: Üstek, İrem, et al.
Publicado: (2024)
por: Üstek, İrem, et al.
Publicado: (2024)
Embeddings to Diagnosis: Latent Fragility under Agentic Perturbations in Clinical LLMs
por: Vijayaraj, Raj Krishnan
Publicado: (2025)
por: Vijayaraj, Raj Krishnan
Publicado: (2025)
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration
por: Kim, Jun-Young, et al.
Publicado: (2024)
por: Kim, Jun-Young, et al.
Publicado: (2024)
A Dual-Stream Physics-Augmented Unsupervised Architecture for Runtime Embedded Vehicle Health Monitoring
por: Spotorno, Enzo Nicolas, et al.
Publicado: (2026)
por: Spotorno, Enzo Nicolas, et al.
Publicado: (2026)
Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
por: Ng, Wen Zheng Terence, et al.
Publicado: (2025)
por: Ng, Wen Zheng Terence, et al.
Publicado: (2025)
Unsupervised Learning for Quadratic Assignment
por: Min, Yimeng, et al.
Publicado: (2025)
por: Min, Yimeng, et al.
Publicado: (2025)
EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis
por: Tripathi, Aakash, et al.
Publicado: (2025)
por: Tripathi, Aakash, et al.
Publicado: (2025)
Constructing Fair Latent Space for Intersection of Fairness and Explainability
por: Joo, Hyungjun, et al.
Publicado: (2024)
por: Joo, Hyungjun, et al.
Publicado: (2024)
Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment
por: Han, Gengyue, et al.
Publicado: (2026)
por: Han, Gengyue, et al.
Publicado: (2026)
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
por: Kangin, Dmitry, et al.
Publicado: (2024)
por: Kangin, Dmitry, et al.
Publicado: (2024)
Unsupervised Learning for Solving the Travelling Salesman Problem
por: Min, Yimeng, et al.
Publicado: (2023)
por: Min, Yimeng, et al.
Publicado: (2023)
Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models
por: Proshian, Harry, et al.
Publicado: (2026)
por: Proshian, Harry, et al.
Publicado: (2026)
Structure As Search: Unsupervised Permutation Learning for Combinatorial Optimization
por: Min, Yimeng, et al.
Publicado: (2025)
por: Min, Yimeng, et al.
Publicado: (2025)
Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
por: Liu, Houjun, et al.
Publicado: (2025)
por: Liu, Houjun, et al.
Publicado: (2025)
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
por: Sun, B., et al.
Publicado: (2025)
por: Sun, B., et al.
Publicado: (2025)
Transfer Learning from Foundational Optimization Embeddings to Unsupervised SAT Representations
por: Pal, Koyena, et al.
Publicado: (2026)
por: Pal, Koyena, et al.
Publicado: (2026)
Exploring the impact of fairness-aware criteria in AutoML
por: Simões, Joana, et al.
Publicado: (2026)
por: Simões, Joana, et al.
Publicado: (2026)
Unsupervised Cognition
por: Ibias, Alfredo, et al.
Publicado: (2024)
por: Ibias, Alfredo, et al.
Publicado: (2024)
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem
por: Min, Yimeng, et al.
Publicado: (2024)
por: Min, Yimeng, et al.
Publicado: (2024)
Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
por: Yang, Jiawen, et al.
Publicado: (2025)
por: Yang, Jiawen, et al.
Publicado: (2025)
Unsupervised Dynamic Feature Selection for Robust Latent Spaces in Vision Tasks
por: Corcuera, Bruno, et al.
Publicado: (2025)
por: Corcuera, Bruno, et al.
Publicado: (2025)
Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis
por: Marmoret, Axel
Publicado: (2026)
por: Marmoret, Axel
Publicado: (2026)
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
por: Shen, Zhixiang, et al.
Publicado: (2024)
por: Shen, Zhixiang, et al.
Publicado: (2024)
JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings
por: Zong, Tianyu, et al.
Publicado: (2025)
por: Zong, Tianyu, et al.
Publicado: (2025)
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
por: Wang, Yiming, et al.
Publicado: (2024)
por: Wang, Yiming, et al.
Publicado: (2024)
ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
por: Hermary, Romain, et al.
Publicado: (2026)
por: Hermary, Romain, et al.
Publicado: (2026)
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis
por: Xu, Haowen, et al.
Publicado: (2024)
por: Xu, Haowen, et al.
Publicado: (2024)
Fixed Point Explainability
por: La Malfa, Emanuele, et al.
Publicado: (2025)
por: La Malfa, Emanuele, et al.
Publicado: (2025)
Explainability is NOT a Game
por: Marques-Silva, Joao, et al.
Publicado: (2023)
por: Marques-Silva, Joao, et al.
Publicado: (2023)
Explainable Bayesian Optimization
por: Chakraborty, Tanmay, et al.
Publicado: (2024)
por: Chakraborty, Tanmay, et al.
Publicado: (2024)
Towards an Explainable Comparison and Alignment of Feature Embeddings
por: Jalali, Mohammad, et al.
Publicado: (2025)
por: Jalali, Mohammad, et al.
Publicado: (2025)
Ejemplares similares
-
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
por: Tepeli, Yasin I., et al.
Publicado: (2024) -
Bridging Explainability and Embeddings: BEE Aware of Spuriousness
por: Păduraru, Cristian Daniel, et al.
Publicado: (2024) -
LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
por: Ipas, Oroel, et al.
Publicado: (2026) -
Graph Counterfactual Explainable AI via Latent Space Traversal
por: Hansen, Andreas Abildtrup, et al.
Publicado: (2025) -
Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning
por: Li, Zhuoran, et al.
Publicado: (2024)