Toni Karvonen - RankMe

56 papers A* 2A 1C 2Journal 44Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Quadrature: Gaussian Processes for Integration. CoRR Maren Mahsereci, Toni Karvonen
2026	J	`jnl`	Piecewise linear interpolation via kernels. CoRR Toni Karvonen, Gabriele Santin, Tizian Wenzel
2025	—	`conf`	A Dictionary of Closed-Form Kernel Mean Embeddings. ProbNum François-Xavier Briol, Toni Karvonen, Alexandra Gessner, Maren Mahsereci
2025	J	`jnl`	A Dictionary of Closed-Form Kernel Mean Embeddings. CoRR François-Xavier Briol, Alexandra Gessner, Toni Karvonen, Maren Mahsereci
2025	J	`jnl`	BayesSum: Bayesian Quadrature in Discrete Spaces. CoRR Sophia Seulkee Kang, François-Xavier Briol, Toni Karvonen, Zonghao Chen
2025	J	`jnl`	Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood. SIAM/ASA J. Uncertain. Quantification Masha Naslidnyk, Motonobu Kanagawa, Toni Karvonen, Maren Mahsereci
2025	J	`jnl`	Error analysis for a statistical finite element method. J. Multivar. Anal. Toni Karvonen, Fehmi Cirak, Mark Girolami
2025	J	`jnl`	General superconvergence for kernel-based approximation. CoRR Toni Karvonen, Gabriele Santin, Tizian Wenzel
2025	J	`jnl`	Möbius-transformed trapezoidal rule. Math. Comput. Yuya Suzuki, Nuutti Hyvönen, Toni Karvonen
2025	J	`jnl`	Stationary MMD Points for Cubature. CoRR Zonghao Chen, Toni Karvonen, Heishiro Kanagawa, François-Xavier Briol, Chris J. Oates
2024	J	`jnl`	Construction of Optimal Algorithms for Function Approximation in Gaussian Sobolev Spaces. CoRR Yuya Suzuki, Toni Karvonen
2024	J	`jnl`	Möbius-Transformed Trapezoidal Rule. CoRR Yuya Suzuki, Nuutti Hyvönen, Toni Karvonen
2024	J	`jnl`	Orthonormal expansions for translation-invariant kernels. J. Approx. Theory Filip Tronarp, Toni Karvonen
2024	J	`jnl`	Probabilistic Richardson Extrapolation. CoRR Chris J. Oates, Toni Karvonen, Aretha L. Teckentrup, Marina Strocchi, Steven A. Niederer
2023	J	`jnl`	A probabilistic Taylor expansion with Gaussian processes. Trans. Mach. Learn. Res. Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä
2023	J	`jnl`	Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation. SIAM/ASA J. Uncertain. Quantification Toni Karvonen
2023	J	`jnl`	Maximum likelihood estimation in Gaussian process regression is ill-posed. J. Mach. Learn. Res. Toni Karvonen, Chris J. Oates
2023	A	`conf`	Multilevel Bayesian Quadrature. AISTATS Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, François-Xavier Briol
2022	J	`jnl`	Approximation in Hilbert spaces of the Gaussian and other weighted power series kernels. CoRR Toni Karvonen
2022	J	`jnl`	Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Regression. CoRR Toni Karvonen
2022	J	`jnl`	Error analysis for a statistical finite element method. CoRR Toni Karvonen, Fehmi Cirak, Mark Girolami
2022	J	`jnl`	Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed. CoRR Toni Karvonen, Chris J. Oates
2022	J	`jnl`	Orthonormal Expansions for Translation-Invariant Kernels. CoRR Filip Tronarp, Toni Karvonen
2021	J	`jnl`	A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations. CoRR Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä
2021	A*	`conf`	Black Box Probabilistic Numerics. NeurIPS Onur Teymur, Christopher N. Foley, Philip G. Breen, Toni Karvonen, Chris J. Oates
2021	J	`jnl`	Black Box Probabilistic Numerics. CoRR Onur Teymur, Christopher N. Foley, Philip G. Breen, Toni Karvonen, Chris J. Oates
2021	J	`jnl`	Correction to: Kernel-based interpolation at approximate Fekete points. Numer. Algorithms Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
2021	—	`conf`	Gaussian Approximations of SDES in Metropolis-Adjusted Langevin Algorithms. MLSP Simo Särkkä, Christos Merkatas, Toni Karvonen
2021	J	`jnl`	Improved Calibration of Numerical Integration Error in Sigma-Point Filters. IEEE Trans. Autom. Control. Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä
2021	J	`jnl`	Integration in reproducing kernel Hilbert spaces of Gaussian kernels. Math. Comput. Toni Karvonen, Chris J. Oates, Mark Girolami
2021	J	`jnl`	Kernel-based interpolation at approximate Fekete points. Numer. Algorithms Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
2021	J	`jnl`	ProbNum: Probabilistic Numerics in Python. CoRR Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig
2021	J	`jnl`	Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering. IEEE Trans. Autom. Control. Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä
2020	J	`jnl`	Integration in reproducing kernel Hilbert spaces of Gaussian kernels. CoRR Toni Karvonen, Chris J. Oates, Mark Girolami
2020	J	`jnl`	Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions. SIAM/ASA J. Uncertain. Quantification Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä
2020	J	`jnl`	Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions. CoRR Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä
2020	J	`jnl`	On Stability of a Class of Filters for Nonlinear Stochastic Systems. SIAM J. Control. Optim. Toni Karvonen, Silvère Bonnabel, Eric Moulines, Simo Särkkä
2020	J	`jnl`	Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces. CoRR Gabriele Santin, Toni Karvonen, Bernard Haasdonk
2020	J	`jnl`	Worst-case optimal approximation with increasingly flat Gaussian kernels. Adv. Comput. Math. Toni Karvonen, Simo Särkkä
2019	—	`conf`	Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein-Uhlenbeck Prior. MLSP Toni Karvonen, Filip Tronarp, Simo Särkkä
2019	J	`jnl`	Kernel-based interpolation at approximate Fekete points. CoRR Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
2019	J	`jnl`	On the positivity and magnitudes of Bayesian quadrature weights. Stat. Comput. Toni Karvonen, Motonobu Kanagawa, Simo Särkkä
2019	J	`jnl`	Student's $t$-Filters for Noise Scale Estimation. IEEE Signal Process. Lett. Filip Tronarp, Toni Karvonen, Simo Särkkä
2019	J	`jnl`	Symmetry exploits for Bayesian cubature methods. Stat. Comput. Toni Karvonen, Simo Särkkä, Chris J. Oates
2019	J	`jnl`	Worst-case optimal approximation with increasingly flat Gaussian kernels. CoRR Toni Karvonen, Simo Särkkä
2018	A*	`conf`	A Bayes-Sard Cubature Method. NeurIPS Toni Karvonen, Chris J. Oates, Simo Särkkä
2018	—	`conf`	Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics. CDC Toni Karvonen, Silvère Bonnabel, Eric Moulines, Simo Särkkä
2018	J	`jnl`	Fully Symmetric Kernel Quadrature. SIAM J. Sci. Comput. Toni Karvonen, Simo Särkkä
2018	J	`jnl`	Improved Calibration of Numerical Integration Error in Sigma-Point Filters. CoRR Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä
2018	—	`conf`	Mixture Representation of the MatéRn class with Applications in State Space Approximations and Bayesian quadrature. MLSP Filip Tronarp, Toni Karvonen, Simo Särkkä
2018	J	`jnl`	On the positivity and magnitudes of Bayesian quadrature weights. CoRR Toni Karvonen, Motonobu Kanagawa, Simo Särkkä
2017	—	`conf`	Classical quadrature rules via Gaussian processes. MLSP Toni Karvonen, Simo Särkkä
2017	J	`jnl`	Fully symmetric kernel quadrature. CoRR Toni Karvonen, Simo Särkkä
2017	C	`conf`	Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise. FUSION Jakub Prüher, Filip Tronarp, Toni Karvonen, Simo Särkkä, Ondrej Straka
2016	—	`conf`	Approximate state-space Gaussian processes via spectral transformation. MLSP Toni Karvonen, Simo Särkkä
2016	C	`conf`	Fourier-Hermite series for stochastic stability analysis of non-linear Kalman filters. FUSION Toni Karvonen, Simo Särkkä