نتائج البحث

Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems

• Authors : Tamo Amougou, Bernardin; Pereyra, Marcelo; Pascal, Barbara ...

Subjects: Conformal Prediction; Uncertainty Quantification; Image RestorationEdinburg; Scotland; United Kingdom

• Source: Proceedings of IEEE Statistical Signal Processing Workshop ; IEEE Statistical Signal Processing Workshop ; https://hal.science/hal-04979165 ; IEEE Statistical Signal Processing Workshop, Jun 2025,

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Efficient treatment of the model error in the calibration of computer codes: the Complete Maximum a Posteriori method

• Authors : Kahol, Omar; Congedo, Pietro Marco; Le Maître, Olivier ...

Subjects: Uncertainty Quantification Model Calibration Bayesian Method Model Error; Uncertainty Quantification; Model Calibration

• Source: ISSN: 2152-5080.

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An uncertainty quantification framework for a Zika virus epidemic model

• Authors : Dantas, Eber; Tosin, Michel; Cunha Jr, Americo ...

Subjects: [MATH.MATH-PR] Mathematics [math]/Probability [math.PR]; [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]; uncertainty quantification

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Effect of an attached end mass in the dynamics of uncertainty nonlinear continuous random system

• Authors : Cunha Jr, Americo; Sampaio, Rubens; CUNHA JR, Americo

Subjects: FOS: Computer and information sciences; [MATH.MATH-PR] Mathematics [math]/Probability [math.PR]; uncertainty quantification

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Marginal and training-conditional guarantees in one-shot federated conformal prediction

• Authors : Humbert, Pierre; Le Bars, Batiste; Bellet, Aurélien ...

Subjects: FOS: Computer and information sciences; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

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Physics informed model error for data assimilation

• Authors : Guillot, Jules; Frénod, Emmanuel; Ailliot, Pierre ...

Subjects: Model Error; Heat Equation; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

• Source: Discrete and Continuous Dynamical Systems - S. 16:265-276

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Finite-dimensional approximation of Gaussian processes with linear inequality constraints and noisy observations

• Authors : Maatouk, Hassan;

Subjects: [MATH.MATH-PR] Mathematics [math]/Probability [math.PR]; Truncated Gaussian vector; uncertainty quantification

• Source: Communications in Statistics-Theory and MethodsCommunications in Statistics-Theory and Methods, 2022

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Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures

• Authors : Soize, Christian; Soize, Christian

Subjects: FOS: Computer and information sciences; [MATH.MATH-PR] Mathematics [math]/Probability [math.PR]; Computer Science - Machine Learning

• Source: Computational Statistics. 38:1879-1925

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Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of Helium on graphite substrate

• Authors : Soize, Christian; To, Quy-Dong;

Subjects: Uncertainty quantification; Atomic collisions; Polynomial chaos expansion

• Source: ISSN: 0021-9991.

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Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics

• Authors : Reyes, Justin; Desceliers, Christophe; Soize, Christian ...

Subjects: [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]; [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph]; [MATH.MATH-PR] Mathematics [math]/Probability [math.PR]

• Source: Computational MechanicsComputational Mechanics, Springer Verlag, 2021, Accepted 14 October 2021

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