Saved in:
| Main Authors: | Klugmann, Christopher, Kondermann, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.04366 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minority Reports: Balancing Cost and Quality in Ground Truth Data Annotation
by: Liao, Hsuan Wei, et al.
Published: (2025)
by: Liao, Hsuan Wei, et al.
Published: (2025)
No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data
by: Klugmann, Christopher, et al.
Published: (2024)
by: Klugmann, Christopher, et al.
Published: (2024)
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
by: Penquitt, Sarina, et al.
Published: (2025)
by: Penquitt, Sarina, et al.
Published: (2025)
Probabilistic Label Spreading: Efficient and Consistent Estimation of Soft Labels with Epistemic Uncertainty on Graphs
by: Klees, Jonathan, et al.
Published: (2026)
by: Klees, Jonathan, et al.
Published: (2026)
Categorical Flow Matching on Statistical Manifolds
by: Cheng, Chaoran, et al.
Published: (2024)
by: Cheng, Chaoran, et al.
Published: (2024)
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
by: Niihori, Mizuki, et al.
Published: (2025)
by: Niihori, Mizuki, et al.
Published: (2025)
Quantifying Structure in CLIP Embeddings: A Statistical Framework for Concept Interpretation
by: Zhao, Jitian, et al.
Published: (2025)
by: Zhao, Jitian, et al.
Published: (2025)
Statistical Testing Framework for Clustering Pipelines by Selective Inference
by: Miyata, Yugo, et al.
Published: (2026)
by: Miyata, Yugo, et al.
Published: (2026)
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference
by: Mukherjee, Anirban, et al.
Published: (2024)
by: Mukherjee, Anirban, et al.
Published: (2024)
Fiducial Matching: Differentially Private Inference for Categorical Data
by: Romanus, Ogonnaya Michael, et al.
Published: (2025)
by: Romanus, Ogonnaya Michael, et al.
Published: (2025)
Symmetry Guarantees Statistic Recovery in Variational Inference
by: Marks, Daniel, et al.
Published: (2026)
by: Marks, Daniel, et al.
Published: (2026)
Causal Inference with Categorical Unobserved Confounder via Mixture Learning
by: Saha, Aytijhya, et al.
Published: (2026)
by: Saha, Aytijhya, et al.
Published: (2026)
Naive Bayes Classifiers and One-hot Encoding of Categorical Variables
by: Williams, Christopher K. I.
Published: (2024)
by: Williams, Christopher K. I.
Published: (2024)
The Normalized Cross Density Functional: A Framework to Quantify Statistical Dependence for Random Processes
by: Hu, Bo, et al.
Published: (2022)
by: Hu, Bo, et al.
Published: (2022)
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
by: Li, Mengmeng, et al.
Published: (2024)
by: Li, Mengmeng, et al.
Published: (2024)
An Evaluation of Hybrid Annotation Workflows on High-Ambiguity Spatiotemporal Video Footage
by: Gutiérrez, Juan, et al.
Published: (2025)
by: Gutiérrez, Juan, et al.
Published: (2025)
A Markov Categorical Framework for Language Modeling
by: Zhang, Yifan
Published: (2025)
by: Zhang, Yifan
Published: (2025)
CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration
by: Ting, Lo Pang-Yun, et al.
Published: (2025)
by: Ting, Lo Pang-Yun, et al.
Published: (2025)
Active Statistical Inference
by: Zrnic, Tijana, et al.
Published: (2024)
by: Zrnic, Tijana, et al.
Published: (2024)
Statistical Inference for Responsiveness Verification
by: Cheon, Seung Hyun, et al.
Published: (2025)
by: Cheon, Seung Hyun, et al.
Published: (2025)
A Causal Inference Approach for Quantifying Research Impact
by: Ochiai, Keiichi, et al.
Published: (2025)
by: Ochiai, Keiichi, et al.
Published: (2025)
Self-Attention as a Parametric Endofunctor: A Categorical Framework for Transformer Architectures
by: O'Neill, Charles
Published: (2025)
by: O'Neill, Charles
Published: (2025)
DiffER: Categorical Diffusion for Chemical Retrosynthesis
by: Current, Sean, et al.
Published: (2025)
by: Current, Sean, et al.
Published: (2025)
Statistical Inference for Fuzzy Clustering
by: Wu, Qiuyi, et al.
Published: (2026)
by: Wu, Qiuyi, et al.
Published: (2026)
Scaling Ambiguity: Augmenting Human Annotation in Speech Emotion Recognition with Audio-Language Models
by: Zhang, Wenda, et al.
Published: (2026)
by: Zhang, Wenda, et al.
Published: (2026)
Surrogate Representation Inference for Text and Image Annotations
by: Nakamura, Kentaro
Published: (2025)
by: Nakamura, Kentaro
Published: (2025)
Statistical Inference for Generative Model Comparison
by: Gao, Zijun, et al.
Published: (2025)
by: Gao, Zijun, et al.
Published: (2025)
Robust Sampling for Active Statistical Inference
by: Li, Puheng, et al.
Published: (2025)
by: Li, Puheng, et al.
Published: (2025)
Learning U-Statistics with Active Inference
by: Wang, Xiaoning, et al.
Published: (2026)
by: Wang, Xiaoning, et al.
Published: (2026)
Statistical Inference for Explainable Boosting Machines
by: Fang, Haimo, et al.
Published: (2026)
by: Fang, Haimo, et al.
Published: (2026)
From Ambiguity to Action: A POMDP Perspective on Partial Multi-Label Ambiguity and Its Horizon-One Resolution
by: Pan, Hanlin, et al.
Published: (2026)
by: Pan, Hanlin, et al.
Published: (2026)
The Silent Hyperparameter: Quantifying the Impact of Inference Backends on LLM Reproducibility
by: Pape, David, et al.
Published: (2026)
by: Pape, David, et al.
Published: (2026)
Statistical Inference in Reinforcement Learning: A Selective Survey
by: Shi, Chengchun
Published: (2025)
by: Shi, Chengchun
Published: (2025)
Statistical Inference and Quality Measures of KV Cache Quantisations Inspired by TurboQuant
by: D'Alberto, Paolo
Published: (2026)
by: D'Alberto, Paolo
Published: (2026)
Statistical Inference via Generative Models: Flow Matching and Causal Inference
by: Eguchi, Shinto
Published: (2026)
by: Eguchi, Shinto
Published: (2026)
Categorical Flow Maps
by: Roos, Daan, et al.
Published: (2026)
by: Roos, Daan, et al.
Published: (2026)
Statistical Inference under Performativity
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Statistical Inference for Online Algorithms
by: Carter, Selina, et al.
Published: (2025)
by: Carter, Selina, et al.
Published: (2025)
A Rational Account of Categorization Based on Information Theory
by: MacLellan, Christopher J., et al.
Published: (2026)
by: MacLellan, Christopher J., et al.
Published: (2026)
Statistical Inference for Clustering-based Anomaly Detection
by: Phu, Nguyen Thi Minh, et al.
Published: (2025)
by: Phu, Nguyen Thi Minh, et al.
Published: (2025)
Similar Items
-
Minority Reports: Balancing Cost and Quality in Ground Truth Data Annotation
by: Liao, Hsuan Wei, et al.
Published: (2025) -
No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data
by: Klugmann, Christopher, et al.
Published: (2024) -
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
by: Penquitt, Sarina, et al.
Published: (2025) -
Probabilistic Label Spreading: Efficient and Consistent Estimation of Soft Labels with Epistemic Uncertainty on Graphs
by: Klees, Jonathan, et al.
Published: (2026) -
Categorical Flow Matching on Statistical Manifolds
by: Cheng, Chaoran, et al.
Published: (2024)