Adrien Corenflos

28 papers A* 2A 1C 1Misc 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Maximin Robust Bayesian Experimental Design.
CoRR
Hany Abdulsamad, Sahel Iqbal, Christian A. Naesseth, Takuo Matsubara, Adrien Corenflos
2026 J jnl
Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials.
CoRR
Adrien Corenflos
2025 A conf
Conditioning diffusion models by explicit forward-backward bridging.
AISTATS
Adrien Corenflos, Zheng Zhao, Thomas B. Schön, Simo Särkkä, Jens Sjölund
2025 J jnl
Parallel Square-Root Statistical Linear Regression for Inference in Nonlinear State Space Models.
SIAM J. Sci. Comput.
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
2024 J jnl
BlackJAX: Composable Bayesian inference in JAX.
CoRR
Alberto Cabezas, Adrien Corenflos, Junpeng Lao, Rémi Louf, Antoine Carnec, Kaustubh Chaudhari, Reuben Cohn-Gordon, Jeremie Coullon, Wei Deng, Sam Duffield, Gerardo Duràn-Martín, Marcin Elantkowski, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov
2024 — —
Computationally efficient statistical inference in Markovian models.
Adrien Corenflos
2024 J jnl
Conditioning diffusion models by explicit forward-backward bridging.
CoRR
Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
2024 J jnl
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics.
CoRR
Yvann Le Fay, Simo Särkkä, Adrien Corenflos
2024 A* conf
Nesting Particle Filters for Experimental Design in Dynamical Systems.
ICML
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
2024 J jnl
Nesting Particle Filters for Experimental Design in Dynamical Systems.
CoRR
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
2024 J jnl
Parallel-in-Time Probabilistic Numerical ODE Solvers.
J. Mach. Learn. Res.
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä
2024 J jnl
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design.
CoRR
Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos
2023 J jnl
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems.
CoRR
Adrien Corenflos, Simo Särkkä
2023 J jnl
Debiasing Piecewise Deterministic Markov Process samplers using couplings.
CoRR
Adrien Corenflos, Matthew Sutton, Nicolas Chopin
2023 J jnl
Parallel-in-Time Probabilistic Numerical ODE Solvers.
CoRR
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä
2023 J jnl
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing.
CoRR
Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä
2023 — conf
Variational Gaussian Filtering via Wasserstein Gradient Flows.
EUSIPCO
Adrien Corenflos, Hany Abdulsamad
2023 J jnl
Variational Gaussian filtering via Wasserstein gradient flows.
CoRR
Adrien Corenflos, Hany Abdulsamad
2022 J jnl
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother.
CoRR
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
2022 J jnl
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother.
J. Mach. Learn. Res.
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
2022 J jnl
Parallel square-root statistical linear regression for inference in nonlinear state space models.
CoRR
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
2022 C conf
Temporal Gaussian Process Regression in Logarithmic Time.
FUSION
Adrien Corenflos, Zheng Zhao, Simo Särkkä
2021 A* conf
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport.
ICML
Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet
2021 J jnl
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport.
CoRR
Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis
2021 J jnl
Gaussian Process Regression in Logarithmic Time.
CoRR
Adrien Corenflos, Zheng Zhao, Simo Särkkä
2021 J jnl
POT: Python Optimal Transport.
J. Mach. Learn. Res.
Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer
2021 Misc conf
Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
ICASSP
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
2021 J jnl
Parallel Iterated Extended and Sigma-point Kalman Smoothers.
CoRR
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä