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Papers matching “high-dimensional inference” 12

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Deep learning of causal structures in high dimensions under data limitations
2023 Nature Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

65

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
High-accuracy model-based reinforcement learning, a survey
2023 Artificial Intelligence Review article Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

46

citations
Machine learning based conditional mean filter: a non-linear extension of the ensemble Kalman filter
2021 conference-abstract Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Truong‐Vinh Hoang, Sebastian Krumscheid, Raul F. Tempone

2

citations
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
2024 Symmetry article Computer Science Gaussian Processes and Bayesian Inference Open access

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

11

citations
Reproducing kernel Hilbert spaces in the mean field limit
2023 Kinetic and Related Models article Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Michaël Herty, Michael Rom, Chiara Segala, Sebastian Trimpe

5

citations
Reproducing kernel Hilbert spaces in the mean field limit
2023 RWTH Publications (RWTH Aachen) article Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Michaël Herty, Michael Rom, Chiara Segala, Sebastian Trimpe

1

citations
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
2025 neural information processing systems conference-paper Computer Science Anomaly Detection Techniques and Applications Open access

Zhong Li, Qi Zhong Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Bas van Stein, +1 more

5

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

3

citations
Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Şeyma Selcan Mağara, Esther Havemann, Debora Jutz, Ali Burak Ünal, Mete Akgün

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations

12 results