Kinetic methods for inverse problems

• Actionable Artificial Intelligence for the Future of Production

  2023 Interdisciplinary excellence accelerator series book-chapter Engineering Digital Transformation in Industry Open access

  1

  citations
• Filtering Methods for Coupled Inverse Problems

  2023 SIAM Journal on Applied Dynamical Systems article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

  2

  citations
• Actionable Artificial Intelligence for the Future of Production

  2023 Interdisciplinary excellence accelerator series book-chapter Engineering Digital Transformation in Industry Open access

  5

  citations
• Actionable Artificial Intelligence for the Future of Production

  2023 Interdisciplinary excellence accelerator series book-chapter Engineering Digital Transformation in Industry Open access

  2

  citations
• A Stabilization of a Continuous Limit of the Ensemble Kalman Inversion

  2022 SIAM Journal on Numerical Analysis article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

  9

  citations
• Mean-field and kinetic descriptions of neural differential equations

  2022 Foundations of Data Science article Computer Science Neural Networks and Applications Open access

  9

  citations
• Recent Trends on Nonlinear Filtering for Inverse Problems

  2022 Communications in Applied and Industrial Mathematics article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

  0

  citations
• Continuous limits for constrained ensemble Kalman filter

  2020 Inverse Problems article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

  13

  citations
• Identifying trending coefficients with an ensemble Kalman filter

  2020 arXiv (Cornell University) preprint Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

  2

  citations
• Continuous limits for constrained ensemble Kalman filter

  2020 RWTH Publications (RWTH Aachen) article Computer Science Target Tracking and Data Fusion in Sensor Networks

  16

  citations
• Identifying trending model coefficients with an ensemble Kalman filter – a demonstration on a force model for milling

  2020 IFAC-PapersOnLine article Engineering Control Systems and Identification Open access

  11

  citations
• Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent

  2020 Lecture notes in computer science conference-paper Computer Science Stochastic Gradient Optimization Techniques

  7

  citations

12 results