Zobrazeno 1 - 10
of 1 574
pro vyhledávání: '"Simen, P"'
In a previous publication [J. Chem. Phys., 161, 044105 (2024)], it has been shown that Rothe's method can be used to solve the time-dependent Schr\"odinger equation (TDSE) for the hydrogen atom in a strong laser field using time-dependent Gaussian wa
Externí odkaz:
http://arxiv.org/abs/2411.05459
We introduce a simple definition of the weight of any given Slater determinant in the coupled-cluster state, namely as the expectation value of the projection operator onto that determinant. The definition can be applied to any coupled-cluster formul
Externí odkaz:
http://arxiv.org/abs/2411.00690
Real-time propagation methods for chemistry and physics are invariably formulated using variational techniques. The time-dependent bivariational principle (TD-BIVP) is known to be the proper framework for coupled-cluster type methods, and is here stu
Externí odkaz:
http://arxiv.org/abs/2410.24192
The presence of salt in seawater significantly affects the melt rate and morphological evolution of ice. This study investigates the melting process of a vertical cylinder in saline water using a combination of laboratory experiments and direct numer
Externí odkaz:
http://arxiv.org/abs/2410.22050
Turbulence beneath a free surface leaves characteristic long-lived signatures on the surface, such as upwelling 'boils', near-circular 'dimples' and elongated 'scars', easily identifiable by eye, e.g., in riverine flows. In this paper, we use Direct
Externí odkaz:
http://arxiv.org/abs/2409.05409
The dispersive motion of surface waves is now routinely used to remotely measure the currents close beneath the surface of oceans and other natural flows. The current manifests as wavelength-dependent Doppler shifts in the spatiotemporal wave spectru
Externí odkaz:
http://arxiv.org/abs/2408.08197
Autor:
Eide, Simen, Frigessi, Arnoldo
This paper introduces Bayesian Hierarchical Low-Rank Adaption (BoRA), a novel method for finetuning multi-task Large Language Models (LLMs). Current finetuning approaches, such as Low-Rank Adaption (LoRA), perform exeptionally well in reducing traini
Externí odkaz:
http://arxiv.org/abs/2407.15857
Autor:
Kristoffersen, Simen, Nordby, Peter Skaar, Malacarne, Sara, Ruocco, Massimiliano, Ortiz, Pablo
We introduce SiamTST, a novel representation learning framework for multivariate time series. SiamTST integrates a Siamese network with attention, channel-independent patching, and normalization techniques to achieve superior performance. Evaluated o
Externí odkaz:
http://arxiv.org/abs/2407.02258
Autor:
Furset, Simen Knutsen
A method for numerical approximation of a new class of fractional parabolic stochastic evolution equations is introduced and analysed. This class of equations has recently been proposed as a space-time extension of the SPDE-method in spatial statisti
Externí odkaz:
http://arxiv.org/abs/2406.19799
Large Language Models (LLMs) have gained significant popularity recently. LLMs are susceptible to various attacks but can also improve the security of diverse systems. However, besides enabling more secure systems, how well do open source LLMs behave
Externí odkaz:
http://arxiv.org/abs/2405.15652