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Uncertainty Quantification

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TitleStatusHype
Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification—0
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities—0
Interpretable machine learning-guided design of Fe-based soft magnetic alloys—0
Interpretable Uncertainty Quantification in AI for HEP—0
Interval Deep Learning for Uncertainty Quantification in Safety Applications—0
IntraSeismic: a coordinate-based learning approach to seismic inversion—0
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging—0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging—0
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
Is MC Dropout Bayesian?—0
Monte Carlo is a good sampling strategy for polynomial approximation in high dimensions—0
JANET: Joint Adaptive predictioN-region Estimation for Time-series—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming—0
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning—0
Judging LLMs on a Simplex—0
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks—0
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
K-Fold Causal BART for CATE Estimation—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions—0
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation—0
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation—0
Lagrangian Inference for Ranking Problems—0
Language Models with Conformal Factuality Guarantees—0
LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery—0
Laplace Redux - Effortless Bayesian Deep Learning—0
Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution—0
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression—0
Large Scale Probabilistic Simulation of Renewables Production—0
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs—0
Last Layer Empirical Bayes—0
Last layer state space model for representation learning and uncertainty quantification—0
Latent Diffusion Model for Generating Ensembles of Climate Simulations—0
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification—0
Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging—0
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements—0
Learnable Bernoulli Dropout for Bayesian Deep Learning—0
Learned imaging with constraints and uncertainty quantification—0
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy—0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees—0
Learning-based GNSS Uncertainty Quantification using Continuous-Time Factor Graph Optimization—0
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics—0
Learning Cellular Network Connection Quality with Conformal—0
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction—0
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