A Reinforcement Learning framework for Wake Steering of Wind Turbines von Lye, Kjetil Olsen, Tabib, Mandar V, Johannessen, Kjetil André

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Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm von Fuchs, Franz Georg, Lye, Kjetil Olsen, Møll Nilsen, Halvor, Stasik, Alexander Johannes, Sartor, Giorgio

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Sensitivity analysis of parameters for carbon sequestration: Symbolic regression models based on open porous media reservoir simulators predictions von Praks, Pavel, Rasmussen, Atgeirr, Lye, Kjetil Olsen, Martinovič, Jan, Praksová, Renata, Watson, Francesca, Brkić, Dejan

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Pseudo-Hamiltonian neural networks for learning partial differential equations von Eidnes, Sølve, Lye, Kjetil Olsen

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Pseudo-Hamiltonian neural networks for learning partial differential equations von Eidnes, Sølve, Lye, Kjetil Olsen

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Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation von Fjordholm, Ulrik Skre, Lye, Kjetil Olsen

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Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation von Fjordholm, Ulrik Skre, Lye, Kjetil Olsen

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A Reinforcement Learning framework for Wake Steering of Wind Turbines von Lye, Kjetil Olsen, Tabib, Mandar Vasudeo, Johannessen, Kjetil Andre

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Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks von Lye, Kjetil Olsen, Mishra, Siddhartha, Ray, Deep, Chandrasekhar, Praveen

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Constrained mixers for the quantum approximate optimization algorithm von Fuchs, Franz G, Kjetil Olsen Lye, Nilsen, Halvor Møll, Stasik, Alexander J, Sartor, Giorgio

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Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm von Fuchs, Franz Georg, Lye, Kjetil Olsen, Nilsen, Halvor Møll, Stasik, Alexander Johannes, Sartor, Giorgio

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Pseudo-Hamiltonian neural networks for learning partial differential equations von Eidnes, Sølve, Lye, Kjetil Olsen

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Pseudo-Hamiltonian neural networks for learning partial differential equations von Eidnes, Sølve, Lye, Kjetil Olsen

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101 million cell case simulation of subsurface CO2 storage simulated with OPM Flow von Lye, Kjetil Olsen

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A Reinforcement Learning framework for Wake Steering of Wind Turbines von Lye, Kjetil Olsen, Tabib, Mandar Vasudeo, Johannessen, Kjetil Andre

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Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation von Fjordholm, Ulrik Skre, Lye, Kjetil Olsen

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Pseudo-Hamiltonian neural networks for learning partial differential equations von Eidnes, Sølve, Kjetil Olsen Lye

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Convergence rates of monotone schemes for conservation laws for data with unbounded total variation von Fjordholm, Ulrik Skre, Lye, Kjetil Olsen

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Multilevel Monte-Carlo for measure valued solutions von Lye, Kjetil Olsen

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Density-consistent Initialization of SPH on a Regular Cartesian Grid: Comparative Numerical Study of 10 Smoothing Kernels in 1, 2 and 3 Dimensions von Lavrov, Alexandre, Skjetne, Paal, Lund, Bjørnar, Bjønnes, Erik, Bjørnson, Finn Olav, Busklein, Jan Ove, Coudert, Térence, Klebert, Pascal, Lye, Kjetil Olsen, Olsen, Jan Erik, Pákozdi, Csaba, Seland, Johan, Yang, Wei

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