SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1900 of 2366 papers

TitleStatusHype
Causal Estimation for Text Data with (Apparent) Overlap Violations—0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction—0
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery—0
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference—0
Certified and fast computations with shallow covariance kernels—0
Data-centric challenges with the application and adoption of artificial intelligence for drug discovery—0
Characterising User Transfer Amid Industrial Resource Variation: A Bayesian Nonparametric Approach—0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification—0
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency—0
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees—0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems—0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification—0
Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate—0
Combined State and Parameter Estimation in Level-Set Methods—0
Combining additivity and active subspaces for high-dimensional Gaussian process modeling—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation—0
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification—0
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression—0
Complementing Semi-Supervised Learning with Uncertainty Quantification—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century—0
Computing High-dimensional Confidence Sets for Arbitrary Distributions—0
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks—0
Conditional Conformal Risk Adaptation—0
Conditional Coverage Estimation for High-quality Prediction Intervals—0
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy—0
Conditional Distribution Quantization in Machine Learning—0
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling—0
Conditional Neural Processes for Molecules—0
Composing Normalizing Flows for Inverse Problems—0
Conditional Shift-Robust Conformal Prediction for Graph Neural Network—0
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks—0
Conditional Variational Autoencoder for Learned Image Reconstruction—0
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks—0
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning—0
Confident magnitude-based neural network pruning—0
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems—0
Conformal forecasting for surgical instrument trajectory—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
Show:102550
← PrevPage 38 of 48Next →

No leaderboard results yet.