From the 1 of 101 papers with an AI index.
18 citations
- Centre National de la Recherche ScientifiqueFR37 papers
- Sorbonne UniversitéFR35 papers
- Ludwig-Maximilians-Universität MünchenDE33 papers
- Université Paris CitéFR33 papers
- University of PaduaIT33 papers
- European Space Research and Technology CentreNL32 papers
- Goddard Space Flight CenterUS32 papers
- Instituto de Astrofísica de CanariasES32 papers
- Osservatorio Astronomico di PadovaIT32 papers
- University of TurinIT32 papers
- Aix-Marseille UniversitéFR31 papers
- European Space AgencyFR31 papers
60 papers
Quantum Tensor Network Learning with DMRG
Gustav J L Jäger, Martin B Plenio, Hans-Martin Rieser
Tensor Networks are a relatively new machine learning approach. The architectures proposed initially are inspired by approaches from quantum many-body physics simulations. One comm…
Euclid: Calibrating distances from surface brightness fluctuations with Early Release Observations of the Fornax cluster
R. Habas, M. Cantiello, G. Riccio +169
Surface brightness fluctuations (SBF), the pixel-to-pixel variations in flux that arise from the statistical distribution of stars in galaxy images, provide a powerful tool to meas…
Validating the calibrated creation of heralded single photons
Daniel Borrero Landazabal, Kaisa Laiho
The paper demonstrates a calibrated source of heralded single photons using parametric down-conversion in a periodically poled KTiOPO4 waveguide at telecom wavelengths, and shows h…
Euclid Quick Data Release (Q1). Searching for radio-selected \Euclid-dark galaxies in the EDF-N
Euclid Collaboration, M. Giulietti, I. Prandoni +308
We present and investigate the properties of a sample of radio-selected, Euclid-dark galaxies, identified from LOFAR HBA observations at 144 MHz within the Euclid Deep Field-North…
Symbolic Recovery of Differential Equations: The Identifiability Problem
Philipp Scholl, Aras Bacho, Holger Boche +1
Symbolic recovery of differential equations is the ambitious attempt at automating the derivation of governing equations with the use of machine learning techniques. In contrast to…
Euclid: A UV-faint quasar in a highly luminous star-forming host galaxy at
S. Belladitta, R. Decarli, E. Bañados +180
Constraining the co-evolution of supermassive black holes and their host galaxies in the first billion years after the Big Bang is essential for understanding the formation of the…