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Papers matching “nonlinear models” 30

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Constructing far-from-equilibrium patterns in a cross-diffusion vegetation-autotoxicity model
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Annalisa Iuorio, Cinzia Soresina, Frits Veerman

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
Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Alessandro Riccardi, Thom Badings, Luca Laurenti, Alessandro Abate, Bart De Schutter

0

citations
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Eike Cramer, Alexander Mitsos, Raul F. Tempone, Manuel Dahmen

2

citations
Using GPUs And LLMs Can Be Satisfying for Nonlinear Real Arithmetic Problems
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Christopher Brix, Julia Walczak, Nils Lommen, Thomas Noll

0

citations
Using GPUs And LLMs Can Be Satisfying for Nonlinear Real Arithmetic Problems
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Christopher Brix, Julia Walczak, Nils Lommen, Thomas Noll

0

citations
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang

0

citations
Curvature Induced Patterns: A Geometric, Analytical Approach to Understanding a Mechanochemical Model
2025 SSRN Electronic Journal preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Daphne Nesenberend, Frits Veerman, Arjen Doelman

0

citations
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more

4

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2021 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

9

citations
Convolutional Neural Networks as 2-D systems
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer, Christian Ebenbauer

3

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2021 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

3

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2022 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

0

citations
Phase-locking of hybrid oscillators
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Joshua H. K. Saldi, Alexandre Morin

0

citations
Microscopic Variability Alters Macroscopic Rotation Speed in Stochastic Spiral Waves
2025 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Desmond Kabus, Hermen Jan Hupkes, Tim De Coster

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

0

citations
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

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
Unfolding recurrence by Green's functions for optimized reservoir computing
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias

0

citations
Compatibility of Higher-Order Slow-Manifold Reduction and Continuum Limits in Adaptive Networks
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Christian Kuehn, Fergal Murphy, Jan-Eric Sulzbach

0

citations
Beyond Turing: Far-from-equilibrium patterns and mechano-chemical feedback
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Frits Veerman, Moritz Mercker, Anna Marciniak‐Czochra

3

citations
Multi-front dynamics in spatially inhomogeneous Allen-Cahn equations
2025 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Robbin Bastiaansen, Arjen Doelman, Tasso J. Kaper

0

citations
A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Mathias Oster, Luca Saluzzi, Tizian Wenzel

1

citations
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis
2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Luise F. Kaven, Artur M. Schweidtmann, Jana Israel, Nadja Wolter, Alexander Mitsos

0

citations