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Uncertainty Quantification

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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
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry—0
Full-waveform earthquake source inversion using simulation-based inferenceCode0
Legitimate ground-truth-free metrics for deep uncertainty classification scoring—0
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
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction—0
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
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