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ORCIDAdrien Corenflos
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2020 – today
- 2024
[b1]Adrien Corenflos:
Computationally efficient statistical inference in Markovian models. Aalto University, Espoo, Finland, 2024- [j3]Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä:
Parallel-in-Time Probabilistic Numerical ODE Solvers. J. Mach. Learn. Res. 25: 206:1-206:27 (2024) - [c5]Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad:
Nesting Particle Filters for Experimental Design in Dynamical Systems. ICML 2024 - [i15]Yvann Le Fay, Simo Särkkä, Adrien Corenflos:
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics. CoRR abs/2401.03338 (2024) - [i14]Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad:
Nesting Particle Filters for Experimental Design in Dynamical Systems. CoRR abs/2402.07868 (2024) - [i13]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:
BlackJAX: Composable Bayesian inference in JAX. CoRR abs/2402.10797 (2024) - [i12]Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön:
Conditioning diffusion models by explicit forward-backward bridging. CoRR abs/2405.13794 (2024) - [i11]Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos:
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design. CoRR abs/2409.05354 (2024) - 2023
- [c4]Adrien Corenflos, Hany Abdulsamad:
Variational Gaussian Filtering via Wasserstein Gradient Flows. EUSIPCO 2023: 1838-1842 - [i10]Adrien Corenflos, Simo Särkkä:
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems. CoRR abs/2303.00301 (2023) - [i9]Adrien Corenflos, Hany Abdulsamad:
Variational Gaussian filtering via Wasserstein gradient flows. CoRR abs/2303.06398 (2023) - [i8]Adrien Corenflos, Matthew Sutton, Nicolas Chopin:
Debiasing Piecewise Deterministic Markov Process samplers using couplings. CoRR abs/2306.15422 (2023) - [i7]Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp
, Philipp Hennig, Simo Särkkä:
Parallel-in-Time Probabilistic Numerical ODE Solvers. CoRR abs/2310.01145 (2023) - [i6]Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä:
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing. CoRR abs/2312.14000 (2023) - 2022
- [j2]Adrien Corenflos, Nicolas Chopin, Simo Särkkä:
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother. J. Mach. Learn. Res. 23: 283:1-283:39 (2022) - [c3]Adrien Corenflos, Zheng Zhao, Simo Särkkä:
Temporal Gaussian Process Regression in Logarithmic Time. FUSION 2022: 1-5 - [i5]Adrien Corenflos, Nicolas Chopin, Simo Särkkä:
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother. CoRR abs/2202.02264 (2022) - [i4]Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel square-root statistical linear regression for inference in nonlinear state space models. CoRR abs/2207.00426 (2022) - 2021
- [j1]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:
POT: Python Optimal Transport. J. Mach. Learn. Res. 22: 78:1-78:8 (2021) - [c2]Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel Iterated Extended and Sigma-Point Kalman Smoothers. ICASSP 2021: 5350-5354 - [c1]Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet:
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. ICML 2021: 2100-2111 - [i3]Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel Iterated Extended and Sigma-point Kalman Smoothers. CoRR abs/2102.00514 (2021) - [i2]Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis:
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. CoRR abs/2102.07850 (2021) - [i1]Adrien Corenflos, Zheng Zhao, Simo Särkkä:
Gaussian Process Regression in Logarithmic Time. CoRR abs/2102.09964 (2021)
Coauthor Index
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