Cover Image

Density Uncertainty Layers for Reliable Uncertainty Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Yookoon, Blei, David M.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantifying Uncertainty in the Presence of Distribution Shifts
by: Slavutsky, Yuli, et al.
Published: (2025)

Uncertainty Estimation by Density Aware Evidential Deep Learning
by: Yoon, Taeseong, et al.
Published: (2024)

Optimization-based Causal Estimation from Heterogenous Environments
by: Yin, Mingzhang, et al.
Published: (2021)

Estimating Wage Disparities Using Foundation Models
by: Vafa, Keyon, et al.
Published: (2024)

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
by: Radharapu, Bhaktipriya, et al.
Published: (2025)

Estimating the Causal Effects of T Cell Receptors
by: Weinstein, Eli N., et al.
Published: (2024)

Robust Representation Learning through Explicit Environment Modeling
by: Slavutsky, Yuli, et al.
Published: (2026)

Transitional Uncertainty with Layered Intermediate Predictions
by: Benkert, Ryan, et al.
Published: (2024)

Is the Last Layer Sufficient for Uncertainty Quantification?
by: Wilson, Joseph, et al.
Published: (2026)

Extremely Greedy Equivalence Search
by: Nazaret, Achille, et al.
Published: (2025)

Towards Reliable, Uncertainty-Aware Alignment
by: Banerjee, Debangshu, et al.
Published: (2025)

Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography
by: Moulaeifard, Mohammad, et al.
Published: (2026)

Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
by: Bandy, Rileigh, et al.
Published: (2026)

Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
by: Kuleshov, Volodymyr, et al.
Published: (2021)

Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model
by: Tang, Yanchuan, et al.
Published: (2026)

Amortized Variational Inference: When and Why?
by: Margossian, Charles C., et al.
Published: (2023)

From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
by: Kotelevskii, Nikita, et al.
Published: (2024)

Towards Reliable Alignment: Uncertainty-aware RLHF
by: Banerjee, Debangshu, et al.
Published: (2024)

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer
by: Hu, Xinyue, et al.
Published: (2025)

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
by: Bui, Ha Manh, et al.
Published: (2023)

Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
by: Bui, Ha Manh, et al.
Published: (2024)

Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores
by: Badash, Zvi N., et al.
Published: (2026)

Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints
by: Yang, Yiyao
Published: (2026)

Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
by: Wu, Bohan, et al.
Published: (2024)

Packed-Ensembles for Efficient Uncertainty Estimation
by: Laurent, Olivier, et al.
Published: (2022)

Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation
by: Park, Seonghyeon, et al.
Published: (2026)

Hierarchical Causal Models
by: Weinstein, Eli N., et al.
Published: (2024)

Decomposing Probabilistic Scores: Reliability, Information Loss and Uncertainty
by: Charpentier, Arthur, et al.
Published: (2026)

Uncertainty Estimation by Human Perception versus Neural Models
by: Mendes, Pedro, et al.
Published: (2025)

Input Adaptive Bayesian Model Averaging
by: Slavutsky, Yuli, et al.
Published: (2025)

High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models
by: Costa, José Lucas De Melo, et al.
Published: (2026)

Uncertainty-Aware Data-Based Method for Fast and Reliable Shape Optimization
by: Yang, Yunjia, et al.
Published: (2026)

Enhancing the Reliability of Medical AI through Expert-guided Uncertainty Modeling
by: Khalin, Aleksei, et al.
Published: (2026)

On the Effect of Uncertainty on Layer-wise Inference Dynamics
by: Kim, Sunwoo, et al.
Published: (2025)

Revisiting Neural Activation Coverage for Uncertainty Estimation
by: Franke, Benedikt, et al.
Published: (2026)

Uncertainty Estimation by Flexible Evidential Deep Learning
by: Yoon, Taeseong, et al.
Published: (2025)

Estimating Aleatoric Uncertainty in the Causal Treatment Effect
by: Xu, Liyuan, et al.
Published: (2026)

Uncertainty Estimation via Hyperspherical Confidence Mapping
by: Choi, Eunseo, et al.
Published: (2026)

Unreliable Uncertainty Estimates with Monte Carlo Dropout
by: Djupskås, Aslak, et al.
Published: (2025)

Daunce: Data Attribution through Uncertainty Estimation
by: Pan, Xingyuan, et al.
Published: (2025)