Ilja Klebanov

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport. CoRR Ilja Klebanov, Claudia Schillings, Dana Wrischnig
2026	J	`jnl`	Transporting higher-order quadrature rules - Quasi-Monte Carlo points and sparse grids for mixture distributions. Stat. Comput. Ilja Klebanov, Tim Sullivan
2025	J	`jnl`	Coherent Set Identification Via Direct Low Rank Maximum Likelihood Estimation. J. Nonlinear Sci. Robert M. Polzin, Ilja Klebanov, Nikolas Nüsken, Péter Koltai
2025	J	`jnl`	Lattice Rules Meet Kernel Cubature. CoRR Vesa Kaarnioja, Ilja Klebanov, Claudia Schillings, Yuya Suzuki
2024	J	`jnl`	Deterministic Fokker-Planck Transport - With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo. CoRR Ilja Klebanov
2023	J	`jnl`	Nonnegative matrix factorization for coherent set identification by direct low rank maximum likelihood estimation. CoRR Robert Polzin, Ilja Klebanov, Nikolas Nüsken, Péter Koltai
2023	J	`jnl`	Transporting Higher-Order Quadrature Rules: Quasi-Monte Carlo Points and Sparse Grids for Mixture Distributions. CoRR Ilja Klebanov, Timothy John Sullivan
2021	J	`jnl`	Markov Chain Importance Sampling - A Highly Efficient Estimator for MCMC. J. Comput. Graph. Stat. Ingmar Schuster, Ilja Klebanov
2021	J	`jnl`	Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems. CoRR Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan
2021	J	`jnl`	Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces. CoRR Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan
2020	J	`jnl`	A Rigorous Theory of Conditional Mean Embeddings. SIAM J. Math. Data Sci. Ilja Klebanov, Ingmar Schuster, Timothy John Sullivan
2018	J	`jnl`	Markov Chain Importance Sampling - a highly efficient estimator for MCMC. CoRR Ingmar Schuster, Ilja Klebanov