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2020 – today
- 2025
[j3]Robert M. Polzin, Ilja Klebanov, Nikolas Nüsken, Péter Koltai:
Coherent Set Identification Via Direct Low Rank Maximum Likelihood Estimation. J. Nonlinear Sci. 35(1): 2 (2025)- 2024
- [i6]Ilja Klebanov:
Deterministic Fokker-Planck Transport - With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo. CoRR abs/2410.18993 (2024) - 2023
- [i5]Robert Polzin, Ilja Klebanov, Nikolas Nüsken, Péter Koltai:
Nonnegative matrix factorization for coherent set identification by direct low rank maximum likelihood estimation. CoRR abs/2308.07663 (2023) - [i4]Ilja Klebanov, Timothy John Sullivan:
Transporting Higher-Order Quadrature Rules: Quasi-Monte Carlo Points and Sparse Grids for Mixture Distributions. CoRR abs/2308.10081 (2023) - 2021
- [j2]Ingmar Schuster
, Ilja Klebanov:
Markov Chain Importance Sampling - A Highly Efficient Estimator for MCMC. J. Comput. Graph. Stat. 30(2): 260-268 (2021) - [i3]Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan:
Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems. CoRR abs/2108.04597 (2021) - [i2]Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan:
Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces. CoRR abs/2108.04598 (2021) - 2020
- [j1]Ilja Klebanov, Ingmar Schuster, Timothy John Sullivan:
A Rigorous Theory of Conditional Mean Embeddings. SIAM J. Math. Data Sci. 2(3): 583-606 (2020)
2010 – 2019
- 2018
- [i1]Ingmar Schuster, Ilja Klebanov:
Markov Chain Importance Sampling - a highly efficient estimator for MCMC. CoRR abs/1805.07179 (2018)
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