Weller, J.
Max Planck Institute for Extraterrestrial Physics · Ludwig-Maximilians-Universität München
16 papers on CoChatORCID 0000-0002-8282-2010
Most cited papers
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ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
Cited by 7,552
- Verified
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
Cited by 7,326
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Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., et al. (2018) · Physical Review D
Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena
Cited by 1,213
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Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing
Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Avila, S., Bacon, D., et al. (2022) · Physical Review D
Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena
Cited by 1,124
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Cosmology and Fundamental Physics with the Euclid Satellite
The Euclid Theory Working Group, Amendola, L., Appleby, S., Bacon, D., Baker, T., Baldi, M., Bartolo, N., Blanchard, A., Bonvin, C., Borgani, S., et al. (2013) · Living Reviews in Relativity
Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena
Cited by 899
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Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration
Amon, A., Gruen, D., Troxel, M. A., MacCrann, N., Dodelson, S., Choi, A., Doux, C., Secco, L. F., Samuroff, S., Krause, E., et al. (2022) · Physical Review D
Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena
Cited by 437
- Verified · note
Dark Energy Survey Year 3 results: Constraints on extensions to Λ CDM with weak lensing and galaxy clustering
Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Avila, S., Bacon, D., Baxter, E., et al. (2023) · Physical Review D
Cosmology and Gravitation TheoriesDark Matter and Cosmic Phenomena
Cited by 131
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Combining clustering and abundances of galaxy clusters to test cosmology and primordial non-Gaussianity
Mana, A., Giannantonio, T., Weller, J., Hoyle, B., Hutsi, G., & Sartoris, B. (2013) · Monthly Notices of the Royal Astronomical Society
Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena
Cited by 66
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On opportunities and challenges of large multimodal foundation models in education
Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., Stausberg, N., Steinert, S., Fischer, F., Fischer, M., et al. (2025) · npj Science of Learning
Multimodal Machine Learning ApplicationsArtificial Intelligence in Education
Cited by 47
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Examining the self-interaction of dark matter through central cluster galaxy offsets
Cross, D., Thoron, G., Jeltema, T. E., Swart, A., Hollowood, D. L., Adhikari, S., Bocquet, S., Eiger, O., Everett, S., Jobel, J., et al. (2024) · Monthly Notices of the Royal Astronomical Society
Galaxies: Formation, Evolution, PhenomenaDark Matter and Cosmic Phenomena
Cited by 24
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Euclid : The Early Release Observations Lens Search Experiment
Acevedo Barroso, J. A., O’Riordan, C. M., Clément, B., Tortora, C., Collett, T. E., Courbin, F., Gavazzi, R., Metcalf, R. B., Busillo, V., Andika, I. T., et al. (2025) · Astronomy & Astrophysics
Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations
Cited by 21
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Euclid : Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field
Pearce-Casey, R., Nagam, B. C., Wilde, J., Busillo, V., Ulivi, L., Andika, I. T., Manjón-García, A., Leuzzi, L., Matavulj, P., Serjeant, S., et al. (2025) · Astronomy & Astrophysics
Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations
Cited by 18
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Euclid : A complete Einstein ring in NGC 6505
O’Riordan, C. M., Oldham, L. J., Nersesian, A., Li, T., Collett, T. E., Sluse, D., Altieri, B., Clément, B., Vasan, K. G. C., Rhoades, S., et al. (2025) · Astronomy & Astrophysics
Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations
Cited by 17
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Euclid Quick Data Release (Q1): XXVIII. The Strong Lensing Discovery Engine C – Finding lenses with machine learning
Euclid Collaboration, Lines, N. E. P., Collett, T. E., Walmsley, M., Rojas, K., Li, T., Leuzzi, L., Manjón-García, A., Vincken, S. H., Wilde, J., et al. (2026) · Astronomy & Astrophysics
Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations
Cited by 14
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Euclid : Finding strong gravitational lenses in the early release observations using convolutional neural networks
Nagam, B. C., Acevedo Barroso, J. A., Wilde, J., Andika, I. T., Manjón-García, A., Pearce-Casey, R., Stern, D., Nightingale, J. W., Moustakas, L. A., McCarthy, K., et al. (2025) · Astronomy & Astrophysics
Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations
Cited by 8
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Euclid Quick Data Release (Q1) -- Data release overview
Euclid Collaboration, Aussel, H., Tereno, I., Schirmer, M., Alguero, G., Altieri, B., Balbinot, E., de Boer, T., Casenove, P., Corcho-Caballero, P., et al. (2025) · arXiv
Galaxies: Formation, Evolution, PhenomenaAstronomy and Astrophysical Research
Cited by 3
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