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Uncertainty Quantification

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Showing 501–550 of 2366 papers

TitleStatusHype
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
Strategic Conformal Prediction—0
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection—0
Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models—0
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration DetectionCode0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators—0
State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning—0
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization—0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
Legitimate ground-truth-free metrics for deep uncertainty classification scoring—0
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry—0
Full-waveform earthquake source inversion using simulation-based inferenceCode0
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning—0
CODES: Benchmarking Coupled ODE SurrogatesCode0
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators—0
Integrating uncertainty quantification into randomized smoothing based robustness guarantees—0
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction—0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
Conformal Prediction for Multimodal RegressionCode0
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation—0
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty QuantificationCode0
Can Uncertainty Quantification Enable Better Learning-based Index Tuning?Code0
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification—0
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections—0
Building Conformal Prediction Intervals with Approximate Message PassingCode0
Semiparametric Bayesian Inference for a Conditional Moment Equality Model—0
High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning ActivationsCode0
Ablation Studies for Novel Treatment Effect Estimation Models—0
Learning signals defined on graphs with optimal transport and Gaussian process regression—0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks—0
Conditional Prediction ROC Bands for Graph ClassificationCode0
Debiasing Mini-Batch Quadratics for Applications in Deep Learning—0
A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process—0
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian ProcessesCode0
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning—0
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
MultiOrg: A Multi-rater Organoid-detection Dataset—0
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information—0
Artificial Kuramoto Oscillatory NeuronsCode2
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation—0
Generative Conformal Prediction with Vectorized Non-Conformity Scores—0
Supervised Kernel ThinningCode0
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning—0
LLM Confidence Evaluation Measures in Zero-Shot CSS Classification—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling—0
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline—0
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