Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Kuleshov, Volodymyr, Deshpande, Shachi |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
by: Deshpande, Shachi, et al.
Published: (2021)
by: Deshpande, Shachi, et al.
Published: (2021)
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
by: Deshpande, Shachi, et al.
Published: (2023)
by: Deshpande, Shachi, et al.
Published: (2023)
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026)
by: Smits, William
Published: (2026)
A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
by: Borah, Parashjyoti, et al.
Published: (2026)
by: Borah, Parashjyoti, et al.
Published: (2026)
ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
by: Poorna, Rajas, et al.
Published: (2026)
by: Poorna, Rajas, et al.
Published: (2026)
Deep Generative Symbolic Regression
by: Holt, Samuel, et al.
Published: (2023)
by: Holt, Samuel, et al.
Published: (2023)
SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
by: Turzi, Marco, et al.
Published: (2025)
by: Turzi, Marco, et al.
Published: (2025)
Analyzing the Benefits of Prototypes for Semi-Supervised Category Learning
by: Zhang, Liyi, et al.
Published: (2024)
by: Zhang, Liyi, et al.
Published: (2024)
Adaptive Riemannian Graph Neural Networks
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
IMUVIE: Pickup Timeline Action Localization via Motion Movies
by: Clapham, John, et al.
Published: (2024)
by: Clapham, John, et al.
Published: (2024)
CASE: Contrastive Activation for Saliency Estimation
by: Williamson, Dane, et al.
Published: (2025)
by: Williamson, Dane, et al.
Published: (2025)
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
by: Rottmann, Matthias, et al.
Published: (2022)
by: Rottmann, Matthias, et al.
Published: (2022)
DeepC4: Deep Conditional Census-Constrained Clustering for Large-scale Multitask Spatial Disaggregation of Urban Morphology
by: Dimasaka, Joshua, et al.
Published: (2025)
by: Dimasaka, Joshua, et al.
Published: (2025)
Event Detection via Probability Density Function Regression
by: Peng, Clark, et al.
Published: (2024)
by: Peng, Clark, et al.
Published: (2024)
Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
by: Perazzolo, Diego, et al.
Published: (2025)
by: Perazzolo, Diego, et al.
Published: (2025)
Uncovering Population PK Covariates from VAE-Generated Latent Spaces
by: Perazzolo, Diego, et al.
Published: (2025)
by: Perazzolo, Diego, et al.
Published: (2025)
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025)
by: Hung, Wei, et al.
Published: (2025)
Continuous Latent Contexts Enable Efficient Online Learning in Transformers
by: Anand, Emile, et al.
Published: (2026)
by: Anand, Emile, et al.
Published: (2026)
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
by: Herde, Marek, et al.
Published: (2024)
by: Herde, Marek, et al.
Published: (2024)
Almost Linear Time Consistent Mode Estimation and Quick Shift Clustering
by: Hashemian, Sajjad
Published: (2025)
by: Hashemian, Sajjad
Published: (2025)
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
by: Thil, Lucas, et al.
Published: (2025)
by: Thil, Lucas, et al.
Published: (2025)
Towards Explainable and Reliable AI in Finance
by: Isufaj, Albi, et al.
Published: (2025)
by: Isufaj, Albi, et al.
Published: (2025)
Vacuum Spiker: A Spiking Neural Network-Based Model for Efficient Anomaly Detection in Time Series
by: Vázquez, Iago Xabier, et al.
Published: (2025)
by: Vázquez, Iago Xabier, et al.
Published: (2025)
System Log Parsing with Large Language Models: A Review
by: Beck, Viktor, et al.
Published: (2025)
by: Beck, Viktor, et al.
Published: (2025)
Persistent Multiscale Density-based Clustering
by: Bot, Daniël, et al.
Published: (2025)
by: Bot, Daniël, et al.
Published: (2025)
RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)
by: Barnard, Amanda S
Published: (2026)
Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
by: Goel, Astitva, et al.
Published: (2026)
by: Goel, Astitva, et al.
Published: (2026)
Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
by: Keçeci, Ertuğrul, et al.
Published: (2025)
by: Keçeci, Ertuğrul, et al.
Published: (2025)
Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)
by: Opperman, Christiaan P., et al.
Published: (2026)
Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling
by: Bhadana, Ritesh
Published: (2026)
by: Bhadana, Ritesh
Published: (2026)
In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)
by: Gu, Enhao, et al.
Published: (2025)
Plug In and Learn: Federated Intelligence over a Smart Grid of Models
by: Abdurakhmanova, S., et al.
Published: (2023)
by: Abdurakhmanova, S., et al.
Published: (2023)
Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions
by: Ovcharov, Volodymyr
Published: (2026)
by: Ovcharov, Volodymyr
Published: (2026)
Structured Contrastive Learning for Interpretable Latent Representations
by: Shen, Zhengyang, et al.
Published: (2025)
by: Shen, Zhengyang, et al.
Published: (2025)
FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
by: Chakraborty, Sujan, et al.
Published: (2025)
by: Chakraborty, Sujan, et al.
Published: (2025)
EEG Sleep Stage Classification with Continuous Wavelet Transform and Deep Learning
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
Feature emergence via margin maximization: case studies in algebraic tasks
by: Morwani, Depen, et al.
Published: (2023)
by: Morwani, Depen, et al.
Published: (2023)
Analysis of Total Variation Minimization for Clustered Federated Learning
by: Jung, A.
Published: (2024)
by: Jung, A.
Published: (2024)
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)
by: Abdelhamid, Mohamed, et al.
Published: (2024)
Similar Items
-
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
by: Deshpande, Shachi, et al.
Published: (2021) -
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
by: Deshpande, Shachi, et al.
Published: (2023) -
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
by: Wang, Xudong, et al.
Published: (2025) -
Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026) -
A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
by: Borah, Parashjyoti, et al.
Published: (2026)