Image de couverture de livre

Calibrated Similarity for Reliable Geometric Analysis of Embedding Spaces

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Tacheny, Nicolas
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Geometric Dynamics of Agentic Loops in Large Language Models
par: Tacheny, Nicolas
Publié: (2025)

Geometric Reasoning in the Embedding Space
par: Hůla, Jan, et autres
Publié: (2025)

Do Similar Entities have Similar Embeddings?
par: Hubert, Nicolas, et autres
Publié: (2023)

Geometric Organization of Cognitive States in Transformer Embedding Spaces
par: Zhao, Sophie
Publié: (2025)

On the Similarities of Embeddings in Contrastive Learning
par: Lee, Chungpa, et autres
Publié: (2025)

Is Cosine-Similarity of Embeddings Really About Similarity?
par: Steck, Harald, et autres
Publié: (2024)

Magnitude Distance: A Geometric Measure of Dataset Similarity
par: Torkamani, Sahel, et autres
Publié: (2026)

An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks
par: Bingi, Yash, et autres
Publié: (2023)

Agentic Diagnostic Reasoning over Telecom and Datacenter Infrastructure
par: Tacheny, Nicolas
Publié: (2026)

Parametric Traversal for Multi-Dimensional Cost-Aware Graph Reasoning
par: Tacheny, Nicolas
Publié: (2026)

Skyline-First Traversal as a Control Mechanism for Multi-Criteria Graph Search
par: Tacheny, Nicolas
Publié: (2026)

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
par: Liu, Yunhui, et autres
Publié: (2024)

Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning
par: Cui, Peng, et autres
Publié: (2026)

GeoCert: Certified Geometric AI for Reliable Forecasting
par: Zhang, Regina, et autres
Publié: (2026)

Efficient Prompt Caching via Embedding Similarity
par: Zhu, Hanlin, et autres
Publié: (2024)

Geometric Prior-Guided Federated Prompt Calibration
par: Luo, Fei, et autres
Publié: (2025)

Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
par: Wang, Yilong, et autres
Publié: (2025)

Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
par: Li, Victor, et autres
Publié: (2025)

Differential Similarity in Higher Dimensional Spaces: Theory and Applications
par: McCarty, L. Thorne
Publié: (2019)

Enhancing Deep Neural Network Reliability with Refinement and Calibration
par: Hebbalaguppe, Ramya, et autres
Publié: (2026)

An Information-Geometric Distance on the Space of Tasks
par: Gao, Yansong, et autres
Publié: (2020)

COBRA: Catastrophic Bit-flip Reliability Analysis of State-Space Models
par: Das, Sanjay, et autres
Publié: (2025)

Statistical Embeddings for Similarity, Retrieval, and Interpretable Alignment of Numeric Tabular Datasets
par: Kunz, M. Ross, et autres
Publié: (2026)

Geometric Relational Embeddings
par: Xiong, Bo
Publié: (2024)

Learning to Calibrate for Reliable Visual Fire Detection
par: Zhang, Ziqi, et autres
Publié: (2025)

Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings
par: Gharib, Shayan, et autres
Publié: (2025)

Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations
par: Decker, Thomas, et autres
Publié: (2025)

Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
par: Pires, Pedro R., et autres
Publié: (2026)

Calibrated Adaptation: Bayesian Stiefel Manifold Priors for Reliable Parameter-Efficient Fine-Tuning
par: Shihab, Ibne Farabi, et autres
Publié: (2026)

Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
par: Uesaka, Toshimitsu, et autres
Publié: (2024)

FRESH: Information-Geometric Calibration of Patient-Level Models to Aggregate Evidence
par: Fuller, Franklin, et autres
Publié: (2026)

Embedding Reliability Verification Constraints into Generation Expansion Planning
par: Liu, Peng, et autres
Publié: (2025)

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
par: Radharapu, Bhaktipriya, et autres
Publié: (2025)

T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation
par: Li, Lihuan, et autres
Publié: (2024)

Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search
par: Kirchoff, Kathryn E., et autres
Publié: (2024)

SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
par: Quan, Xuan-Truong, et autres
Publié: (2025)

Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
par: Kimura, Masanari, et autres
Publié: (2024)

Machine Unlearning via Null Space Calibration
par: Chen, Huiqiang, et autres
Publié: (2024)

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
par: Hasan, Mohsin, et autres
Publié: (2023)

On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
par: Kleyko, Denis, et autres
Publié: (2024)