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Papers matching “nonlinear transformation” 10

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Deriving models of change with interpretable parameters: linear estimation with nonlinear inference
2023 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick

4

citations
Silicon Photonics DWDM NLFT Soliton Transmitter Implementation and Link Budget Assessment
2020 arXiv (Cornell University) preprint Engineering Optical Network Technologies Open access

Alvaro Moscoso‐Mártir, Jonas Koch, Juliana Müller, Saeed Sharif Azadeh, Stephan M. Pachnicke, Jeremy Witzens

5

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
Flexible operation of modular electrochemical CO2 reduction processes
2021 ChemRxiv preprint Energy CO2 Reduction Techniques and Catalysts Open access

Kosan Roh, Luisa C. Brée, Pascal M. Schäfer, Alexander Mitsos

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
Optimal Scaling transformations to model non-linear relations in GLMs with ordered and unordered predictors
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Applications Open access

Sanne J. W. Willems, Anita J. van der Kooij, Jacqueline J. Meulman

0

citations
Neural posterior estimation of the neutrino direction in IceCube using transformer-encoded normalizing flows on the sphere
2026 arXiv (Cornell University) preprint Physics and Astronomy Neutrino Physics Research Open access

R. Abbasi, M. Ackermann, J. Adams, J. A. Aguilar, M. Ahlers, J. M. Alameddine, +94 more

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
Learning Interacting Theories from Data
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Claudia Merger, Alexandre René, Kirsten Fischer, Peter Bouss, Sandra Nestler, David Dahmen, +2 more

0

citations
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more

0

citations

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