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ProbNum: Probabilistic Numerics in Python

ProbNum: Probabilistic Numerics in Python

3 December 2021
Jonathan Wenger
Nicholas Kramer
Marvin Pfortner
Jonathan Schmidt
Nathanael Bosch
N. Effenberger
Johannes Zenn
A. Gessner
Toni Karvonen
F. Briol
Maren Mahsereci
Philipp Hennig
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Papers citing "ProbNum: Probabilistic Numerics in Python"

6 / 6 papers shown
Title
A Dictionary of Closed-Form Kernel Mean Embeddings
A Dictionary of Closed-Form Kernel Mean Embeddings
F. Briol
A. Gessner
Toni Karvonen
Maren Mahsereci
BDL
78
1
0
26 Apr 2025
Robust and Conjugate Gaussian Process Regression
Robust and Conjugate Gaussian Process Regression
Matias Altamirano
F. Briol
Jeremias Knoblauch
18
10
0
01 Nov 2023
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary
  Differential Equations
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Mohan Wu
Martin Lysy
36
4
0
08 Jun 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for
  Likelihood-Free Inference
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti
Masha Naslidnyk
Oscar Key
Samuel Kaski
F. Briol
40
12
0
27 Jan 2023
GParareal: A time-parallel ODE solver using Gaussian process emulation
GParareal: A time-parallel ODE solver using Gaussian process emulation
K. Pentland
M. Tamborrino
Timothy John Sullivan
J. Buchanan
Lynton C. Appel
11
8
0
31 Jan 2022
Stable Implementation of Probabilistic ODE Solvers
Stable Implementation of Probabilistic ODE Solvers
Nicholas Kramer
Philipp Hennig
91
20
0
18 Dec 2020
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