Sølve Eidnes - RankMe

18 papers Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Derivative-free discrete gradient methods. CoRR Håkon Noren Myhr, Sølve Eidnes
2025	J	`jnl`	Recency-Weighted Temporally-Segmented Ensemble for Time Series Modeling. J. Artif. Intell. Res. Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen
2024	J	`jnl`	Machine learning in wastewater treatment: insights from modelling a pilot denitrification reactor. CoRR Eivind Bøhn, Sølve Eidnes, Kjell Rune Jonassen
2024	J	`jnl`	Pseudo-Hamiltonian neural networks for learning partial differential equations. J. Comput. Phys. Sølve Eidnes, Kjetil Olsen Lye
2024	J	`jnl`	Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling. CoRR Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen
2023	J	`jnl`	Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators. CoRR Håkon Noren, Sølve Eidnes, Elena Celledoni
2023	J	`jnl`	Pseudo-Hamiltonian neural networks for learning partial differential equations. CoRR Sølve Eidnes, Kjetil Olsen Lye
2023	J	`jnl`	Pseudo-Hamiltonian system identification. CoRR Sigurd Holmsen, Sølve Eidnes, Signe Riemer-Sørensen
2022	—	`conf`	Data quality issues for vibration sensors: a case study in ferrosilicon production. SEA4DQ@ESEC/SIGSOFT FSE Maryna Waszak, Terje Moen, Sølve Eidnes, Alexander J. Stasik, Anders H. Hansen, Gregory Bouquet, Antoine Pultier, Xiang Ma, Idar Tørlen, Bjørn Henriksen, Arianeh Aamodt, Dumitru Roman
2022	J	`jnl`	Port-Hamiltonian Neural Networks with State Dependent Ports. CoRR Sølve Eidnes, Alexander J. Stasik, Camilla Sterud, Eivind Bøhn, Signe Riemer-Sørensen
2021	J	`jnl`	Linearly implicit structure-preserving schemes for Hamiltonian systems. J. Comput. Appl. Math. Sølve Eidnes, Lu Li, Shun Sato
2020	J	`jnl`	Energy-preserving methods on Riemannian manifolds. Math. Comput. Elena Celledoni, Sølve Eidnes, Brynjulf Owren, Torbjørn Ringholm
2020	J	`jnl`	Linearly Implicit Local and Global Energy-Preserving Methods for PDEs with a Cubic Hamiltonian. SIAM J. Sci. Comput. Sølve Eidnes, Lu Li
2020	J	`jnl`	Order theory for discrete gradient methods. CoRR Sølve Eidnes
2019	J	`jnl`	Linearly implicit local and global energy-preserving methods for Hamiltonian PDEs. CoRR Sølve Eidnes, Lu Li
2018	J	`jnl`	Adaptive energy preserving methods for partial differential equations. Adv. Comput. Math. Sølve Eidnes, Brynjulf Owren, Torbjørn Ringholm
2018	J	`jnl`	Dissipative Numerical Schemes on Riemannian Manifolds with Applications to Gradient Flows. SIAM J. Sci. Comput. Elena Celledoni, Sølve Eidnes, Brynjulf Owren, Torbjørn Ringholm
2017	—	`conf`	Shape Analysis on Lie Groups and Homogeneous Spaces. GSI Elena Celledoni, Sølve Eidnes, Markus Eslitzbichler, Alexander Schmeding