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Adrien Corenflos
Adrien Corenflos
Doctoral student, Aalto University
Verified email at aalto.fi
Title
Cited by
Cited by
Year
Pot: Python optimal transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
The Journal of Machine Learning Research 22 (1), 3571-3578, 2021
6942021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
A Corenflos, J Thornton, G Deligiannidis, A Doucet
International Conference on Machine Learning 139, 2100-2111, 2021
692021
Parallel Iterated Extended and Sigma-point Kalman Smoothers
F Yaghoobi, A Corenflos, S Hassan, S Särkkä
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
112021
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
A Corenflos, N Chopin, S Särkkä
Journal of Machine Learning Research 23, 2022
52022
Temporal Gaussian Process Regression in Logarithmic Time
A Corenflos, Z Zhao, S Särkkä
2022 25th International Conference on Information Fusion (FUSION), 1-5, 2022
42022
The Coupled Rejection Sampler
A Corenflos, S Särkkä
arXiv preprint arXiv:2201.09585, 2022
32022
Debiasing Piecewise Deterministic Markov Process samplers using couplings
A Corenflos, M Sutton, N Chopin
arXiv preprint arXiv:2306.15422, 2023
22023
Parallel square-root statistical linear regression for inference in nonlinear state space models
F Yaghoobi, A Corenflos, S Hassan, S Särkkä
arXiv preprint arXiv:2207.00426, 2022
22022
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing
H Abdulsamad, S Iqbal, A Corenflos, S Särkkä
arXiv preprint arXiv:2312.14000, 2023
12023
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems
A Corenflos, S Särkkä
arXiv preprint arXiv:2303.00301, 2023
12023
BlackJAX: Composable Bayesian inference in JAX
A Cabezas, A Corenflos, J Lao, R Louf
arXiv preprint arXiv:2402.10797, 2024
2024
Nesting Particle Filters for Experimental Design in Dynamical Systems
S Iqbal, A Corenflos, S Särkkä, H Abdulsamad
arXiv preprint arXiv:2402.07868, 2024
2024
Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models
A Corenflos, A Finke
arXiv preprint arXiv:2401.14868, 2024
2024
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics
YL Fay, S Särkkä, A Corenflos
arXiv preprint arXiv:2401.03338, 2023
2023
Parallel-in-Time Probabilistic Numerical ODE Solvers
N Bosch, A Corenflos, F Yaghoobi, F Tronarp, P Hennig, S Särkkä
arXiv preprint arXiv:2310.01145, 2023
2023
Variational Gaussian filtering via Wasserstein gradient flows
A Corenflos, H Abdulsamad
31st European Signal Processing Conference (EUSIPCO), 1838-1842, 2023
2023
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