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uncertainty estimate

10 papers

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Co-occurring keywords · papers mentioning both

neural network (2) uncertainty estimation (2) uncertainty quantification (2) bayesian inference (2) quadrature rule (1) bayesian regret bound (1) decision forest (1) posterior predictive distribution (1) functional uncertainty (1) noise contrastive prior (1)

Papers

Do Deep Neural Network Solutions Form a Star Domain? ICLR 2025 UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation CoRL 2025 A Bayesian Approach to Online Planning ICML 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024 URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates NeurIPS 2023 Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022 Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning CoRL 2020 Noise Contrastive Priors for Functional Uncertainty UAI 2019 The Functional Neural Process NeurIPS 2019 Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016