Saved in:
| Main Authors: | Semoglou, Aggelos, Pavlopoulos, John |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.18435 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Composite Silhouette: A Subsampling-based Aggregation Strategy
by: Semoglou, Aggelos, et al.
Published: (2026)
by: Semoglou, Aggelos, et al.
Published: (2026)
Silhouette-Driven Instance-Weighted $k$-means
by: Semoglou, Aggelos, et al.
Published: (2025)
by: Semoglou, Aggelos, et al.
Published: (2025)
Piece of CAKE: Adaptive Execution Engines via Microsecond-Scale Learning
by: Zhao, Zijie, et al.
Published: (2026)
by: Zhao, Zijie, et al.
Published: (2026)
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
by: Suwandi, Richard Cornelius, et al.
Published: (2025)
by: Suwandi, Richard Cornelius, et al.
Published: (2025)
Revisiting Silhouette Aggregation
by: Pavlopoulos, John, et al.
Published: (2024)
by: Pavlopoulos, John, et al.
Published: (2024)
Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges
by: Skianis, Konstantinos, et al.
Published: (2024)
by: Skianis, Konstantinos, et al.
Published: (2024)
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
by: Randl, Korbinian, et al.
Published: (2024)
by: Randl, Korbinian, et al.
Published: (2024)
Enhancing Confidence Estimation in Telco LLMs via Twin-Pass CoT-Ensembling
by: Saenko, Anton, et al.
Published: (2026)
by: Saenko, Anton, et al.
Published: (2026)
Open or Closed LLM for Lesser-Resourced Languages? Lessons from Greek
by: Pavlopoulos, John, et al.
Published: (2025)
by: Pavlopoulos, John, et al.
Published: (2025)
Designing Synthetic Discussion Generation Systems: A Case Study for Online Facilitation
by: Tsirmpas, Dimitris, et al.
Published: (2025)
by: Tsirmpas, Dimitris, et al.
Published: (2025)
Automatic Camera Trajectory Control with Enhanced Immersion for Virtual Cinematography
by: Wu, Xinyi, et al.
Published: (2023)
by: Wu, Xinyi, et al.
Published: (2023)
Generative Model via Quantile Assignment
by: Hrusanov, Georgi, et al.
Published: (2026)
by: Hrusanov, Georgi, et al.
Published: (2026)
Confidence Aware SSD Ensemble with Weighted Boxes Fusion for Weapon Detection
by: Jadhav, Atharva, et al.
Published: (2025)
by: Jadhav, Atharva, et al.
Published: (2025)
Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
by: Elgabry, Menna, et al.
Published: (2025)
by: Elgabry, Menna, et al.
Published: (2025)
Individual and group fairness in geographical partitioning
by: Ryzhov, Ilya O., et al.
Published: (2025)
by: Ryzhov, Ilya O., et al.
Published: (2025)
Uncertainty Estimation via Hyperspherical Confidence Mapping
by: Choi, Eunseo, et al.
Published: (2026)
by: Choi, Eunseo, et al.
Published: (2026)
Confidence Estimation via Sequential Likelihood Mixing
by: Kirschner, Johannes, et al.
Published: (2025)
by: Kirschner, Johannes, et al.
Published: (2025)
Reducing Street Parking Search Time via Smart Assignment Strategies
by: Hemmatpour, Behafarid, et al.
Published: (2025)
by: Hemmatpour, Behafarid, et al.
Published: (2025)
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)
Towards Training Music Taggers on Synthetic Data
by: Kroher, Nadine, et al.
Published: (2024)
by: Kroher, Nadine, et al.
Published: (2024)
Stochastic Bandits for Egalitarian Assignment
by: Lim, Eugene, et al.
Published: (2024)
by: Lim, Eugene, et al.
Published: (2024)
Speed is Confidence
by: Dillon, Joshua V.
Published: (2026)
by: Dillon, Joshua V.
Published: (2026)
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
by: Arie, Asaf Ben, et al.
Published: (2024)
by: Arie, Asaf Ben, et al.
Published: (2024)
LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration
by: Guo, Jizhou
Published: (2025)
by: Guo, Jizhou
Published: (2025)
RTMC: Step-Level Credit Assignment via Rollout Trees
by: Wang, Tao, et al.
Published: (2026)
by: Wang, Tao, et al.
Published: (2026)
In-Context Credit Assignment via the Core
by: Harris, Keegan, et al.
Published: (2026)
by: Harris, Keegan, et al.
Published: (2026)
Theoretical Limitations of Ensembles in the Age of Overparameterization
by: Dern, Niclas, et al.
Published: (2024)
by: Dern, Niclas, et al.
Published: (2024)
Generalized partitioned local depth
by: Berenhaut, Kenneth S., et al.
Published: (2023)
by: Berenhaut, Kenneth S., et al.
Published: (2023)
Deep Think with Confidence
by: Fu, Yichao, et al.
Published: (2025)
by: Fu, Yichao, et al.
Published: (2025)
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
by: Li, Jiazheng, et al.
Published: (2025)
by: Li, Jiazheng, et al.
Published: (2025)
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
by: Severo, Daniel, et al.
Published: (2024)
by: Severo, Daniel, et al.
Published: (2024)
Ensemble Threshold Calibration for Stable Sensitivity Control
by: Daras, John N.
Published: (2025)
by: Daras, John N.
Published: (2025)
Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data
by: Kaltenberger, Franziska, et al.
Published: (2026)
by: Kaltenberger, Franziska, et al.
Published: (2026)
Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering
by: Wei, Wei, et al.
Published: (2026)
by: Wei, Wei, et al.
Published: (2026)
Credit Assignment via Neural Manifold Noise Correlation
by: Kang, Byungwoo, et al.
Published: (2026)
by: Kang, Byungwoo, et al.
Published: (2026)
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
by: Wang, Yilong, et al.
Published: (2025)
by: Wang, Yilong, et al.
Published: (2025)
On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy
by: Jia, Zeyu, et al.
Published: (2025)
by: Jia, Zeyu, et al.
Published: (2025)
Pathologies of Predictive Diversity in Deep Ensembles
by: Abe, Taiga, et al.
Published: (2023)
by: Abe, Taiga, et al.
Published: (2023)
Conservative Prediction via Data-Driven Confidence Minimization
by: Choi, Caroline, et al.
Published: (2023)
by: Choi, Caroline, et al.
Published: (2023)
Robust Validation: Confident Predictions Even When Distributions Shift
by: Cauchois, Maxime, et al.
Published: (2020)
by: Cauchois, Maxime, et al.
Published: (2020)
Similar Items
-
Composite Silhouette: A Subsampling-based Aggregation Strategy
by: Semoglou, Aggelos, et al.
Published: (2026) -
Silhouette-Driven Instance-Weighted $k$-means
by: Semoglou, Aggelos, et al.
Published: (2025) -
Piece of CAKE: Adaptive Execution Engines via Microsecond-Scale Learning
by: Zhao, Zijie, et al.
Published: (2026) -
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
by: Suwandi, Richard Cornelius, et al.
Published: (2025) -
Revisiting Silhouette Aggregation
by: Pavlopoulos, John, et al.
Published: (2024)