82 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OsloNO4 papers
- Centre Gilles-Gaston GrangerFR2 papers
- Energy NorwayNO2 papers
- Lundin (Norway)NO2 papers
- Texas A&M UniversityUS2 papers
- University of TübingenDE2 papers
- Arizona State UniversityUS1 paper
- Australian National UniversityAU1 paper
- Ben-Gurion University of the NegevIL1 paper
- Boğaziçi UniversityTR1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Brown UniversityUS1 paper
14 papers
Dark Matter in Zwicky's Cosmology: Towards an Epistemological Reconstruction
Simon Beyne, Christian Marinoni
A new contextualised reading of Fritz Zwicky's 1933 article ''The redshift of extragalactic nebulae'' about the virial analysis of the velocity dispersion of galaxies in the Coma c…
Revisiting the systematics of Brevipalpus flat mites (Tenuipalpidae): phylogeny, species groups and cryptic diversity
Renata Santos de Mendonça, Francisco Ferragut, Isis Carolina S. de Oliveira +4
Phytophagous mites in the genus Brevipalpus (Tenuipalpidae) can be major pests, causing direct damage to their host plants or vectoring viruses. However, a phylogeny-based classifi…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Orienting gaze toward a visual target: Neurophysiological synthesis with epistemological considerations
Laurent Goffart
The appearance of an object triggers an orienting gaze movement toward its location. The movement consists of a rapid rotation of the eyes, the saccade, which is accompanied by a h…
Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data
Sigmund Slang, Jing Sun, Thomas Elboth +2
Processing marine seismic data is computationally demanding and consists of multiple time-consuming steps. Neural network based processing can, in theory, significantly reduce proc…
A convolutional neural network approach to deblending seismic data
Jing Sun, Sigmund Slang, Thomas Elboth +3
For economic and efficiency reasons, blended acquisition of seismic data is becoming more and more commonplace. Seismic deblending methods are always computationally demanding and…
DNN-based workflow for attenuating seismic interference noise and its application to marine towed streamer data from the Northern Viking Graben
Jing Sun, Song Hou, Alaa Triki
To separate seismic interference (SI) noise while ensuring high signal fidelity, we propose a deep neural network (DNN)-based workflow applied to common shot gathers (CSGs). In our…
Attenuation of marine seismic interference noise employing a customized U-Net
Jing Sun, Sigmund Slang, Thomas Elboth +3
Marine seismic interference noise occurs when energy from nearby marine seismic source vessels is recorded during a seismic survey. Such noise tends to be well preserved over large…
Towards a multi-physics multi-scale approach of deep geothermal exploration
M. Darnet, S. Vedrine, F. Bretaudeau +10
A wide range of geophysical methods is used for the exploration of deep geothermal resources. It aimsat characterizing the deep fractured network and its capacity for fluid/heat ex…
Historical synthesis supporting Duhem's demonstration of the impossibility of the `experimentum crucis' of comparison of the speed of light in air and water
Olivier Morizot
In 1850, Foucault was the first to compare experimentally the velocity of light in air to its velocity in water. And as the wave and projectile theories competing at the time predi…
David Brewster's and William Herschel's experiments on inflection that delivered the coup de gr{â}ce to Thomas Young's ether distribution hypothesis
Olivier Morizot
In his Theory of Light and Colours, presented to the Royal Society in November 1801, Thomas Young defended a mechanical explanation of the coloured fringes observed outside of the…
Optimal transport in full-waveform inversion: Analysis and practice of the multidimensional Kantorovich-Rubinstein norm
Jérémie Messud, Raphaël Poncet, Gilles Lambaré
In the last ten years, full-waveform inversion has emerged as a robust and efficient high-resolution velocity model-building tool for seismic imaging, with the unique ability to re…
Generalization of Kirchhoff reflectivity to go beyond modelling and inversion of first-order reflection data -- A review of the theory
Jeremie Messud
We remind and emphasize the connections and differences between Kirchhoff and Born modelling. We discuss how they lead to a general expression for the conversion of a velocity mode…
On resonant spectral gap opening in quantum graph networks
Ngoc T. Do, Peter Kuchment, Beng Ong
In this brief paper we present some results on creating and manipulating spectral gaps for a (regular) quantum graph by inserting appropriate internal structures into its vertices.…