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Disambiguation of "Hennig, Philipp"

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Posterior and Computational Uncertainty in Gaussian Processes.

, , , , and . NeurIPS, (2022)

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Philipp Hennig

Dorothee Hennig

Störungen des Arbeitsgedächtnisses als exekutive Funktion bei Patienten mit einer obstruktiven Schlafapnoe am Beispiel von N-back-Aufgaben. Uni Gießen, (2008)

Christian Hennig

Hydrid-Gasphasenepitaxie von versetzungsarmen und freistehenden GaN-Schichten. TU Berlin, (2009)

Boris Hennig

Maren Hennig

 

Other publications of authors with the same name

Baysian numerical integration with neural networks., , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1606-1617. PMLR, (2023)Probabilistic DAG search., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1424-1433. AUAI Press, (2021)Preconditioning for Scalable Gaussian Process Hyperparameter Optimization., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 23751-23780. PMLR, (2022)Bayesian Quadrature on Riemannian Data Manifolds., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3459-3468. PMLR, (2021)Being a Bit Frequentist Improves Bayesian Neural Networks., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 529-545. PMLR, (2022)A Probabilistic State Space Model for Joint Inference from Differential Equations and Data., , and . NeurIPS, page 12374-12385. (2021)An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence., , and . NeurIPS, page 18789-18800. (2021)Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks., , and . NeurIPS, (2022)Uncertainty-Guided Optimization on Large Language Model Search Trees., , , , , and . CoRR, (2024)Scaling up Probabilistic PDE Simulators with Structured Volumetric Information., , and . CoRR, (2024)