Särkkä, Simo

18 publications

AISTATS 2025 Conditioning Diffusion Models by Explicit Forward-Backward Bridging Adrien Corenflos, Zheng Zhao, Thomas B. Schön, Simo Särkkä, Jens Sjölund

TMLR 2025 Provable Quantum Algorithm Advantage for Gaussian Process Quadrature Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä

NeurIPS 2025 Sequential Monte Carlo for Policy Optimization in Continuous POMDPs Hany Abdulsamad, Sahel Iqbal, Simo Särkkä

ICML 2024 Nesting Particle Filters for Experimental Design in Dynamical Systems Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad

JMLR 2024 Parallel-in-Time Probabilistic Numerical ODE Solvers Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä

NeurIPSW 2024 Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design Sahel Iqbal, Hany Abdulsamad, Sara Perez-Vieites, Simo Särkkä, Adrien Corenflos

TMLR 2023 A Probabilistic Taylor Expansion with Gaussian Processes Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä

JMLR 2023 Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson, Simo Särkkä, Arno Solin

JMLR 2022 De-Sequentialized Monte Carlo: A Parallel-in-Time Particle Smoother Adrien Corenflos, Nicolas Chopin, Simo Särkkä

WACV 2019 Gyroscope-Aided Motion Deblurring with Deep Networks Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä

NeurIPS 2018 A Bayes-Sard Cubature Method Toni Karvonen, Chris J Oates, Simo Sarkka

AISTATS 2016 Computationally Efficient Bayesian Learning of Gaussian Process State Space Models Andreas Svensson, Arno Solin, Simo Särkkä, Thomas B. Schön

AISTATS 2015 State Space Methods for Efficient Inference in Student-T Process Regression Arno Solin, Simo Särkkä

AISTATS 2014 Explicit Link Between Periodic Covariance Functions and State Space Models Arno Solin, Simo Särkkä

AISTATS 2012 Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression Simo Sarkka, Jouni Hartikainen

ICML 2012 State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction Jouni Hartikainen, Mari Seppänen, Simo Särkkä

NeurIPS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes Simon Lyons, Amos J. Storkey, Simo Särkkä

UAI 2011 Sequential Inference for Latent Force Models Jouni Hartikainen, Simo Särkkä