Uroš Seljak

Berkeley College — United States

Physics and Astronomy · Physical Sciences

93h-index51.8kcitations287works79.22yr avg
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Research Topics

Galaxies: Formation, Evolution, Phenomena(158), Cosmology and Gravitation Theories(127), Astronomy and Astrophysical Research(71), Radio Astronomy Observations and Technology(37), Dark Matter and Cosmic Phenomena(31)

Publications266 total

Local primordial non-Gaussian bias from time evolution
Physical review. D/Physical review. D.·2025
Reassessment of Kepler’s habitable zone Earth-like exoplanets with data-driven null signal templates
Proceedings of the National Academy of Sciences·2025· 1 citedOpen Access
Reassessment of Kepler's habitable zone Earth-like exoplanets with data-driven null-signal templates
arXiv (Cornell University)·2025Open Access
Validating sequential Monte Carlo for gravitational-wave inference
Monthly Notices of the Royal Astronomical Society·2025· 1 citedOpen Access
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
arXiv (Cornell University)·2025Open Access
Detecting modeling bias with continuous time flow models on weak lensing maps
Journal of Cosmology and Astroparticle Physics·2025· 1 citedOpen Access
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
Statistics and Computing·2025· 1 citedOpen Access
Selecting samples of galaxies with fewer Fingers-of-God
Journal of Cosmology and Astroparticle Physics·2025· 6 citedOpen Access
Validating Sequential Monte Carlo for Gravitational-Wave Inference
arXiv (Cornell University)·2025Open Access
Local Primordial non-Gaussian Bias from Time Evolution
arXiv (Cornell University)·2025Open Access
Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo
arXiv (Cornell University)·2025Open Access
A field-level emulator for modelling baryonic effects across hydrodynamic simulations
Monthly Notices of the Royal Astronomical Society·2025· 4 citedOpen Access
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
arXiv (Cornell University)·2025Open Access
Selecting samples of galaxies with fewer Fingers-of-God
arXiv (Cornell University)·2025Open Access
Black-box unadjusted Hamiltonian Monte Carlo
arXiv (Cornell University)·2024Open Access
Sequential Kalman tuning of the t-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems
Inverse Problems·2024· 1 citedOpen Access
Periodicity significance testing with null-signal templates: reassessment of PTF’s SMBH binary candidates
Monthly Notices of the Royal Astronomical Society·2024· 9 citedOpen Access
A comparative study of cosmological constraints from weak lensing using Convolutional Neural Networks
Journal of Cosmology and Astroparticle Physics·2024· 15 cited
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
arXiv (Cornell University)·2024· 2 citedOpen Access
Periodicity significance testing with null-signal templates: reassessment of PTF's SMBH binary candidates
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Christopher M. Hirata(14), Neta A. Bahcall(12), David J. Schlegel(10), Patrick McDonald(10), Nikhil Padmanabhan(9), Michael R. Blanton(8), J. Brinkmann(8), Rachel Mandelbaum(8), David H. Weinberg(7), James E. Gunn(7), Matías Zaldarriaga(7), Tobias Baldauf(7), Max Tegmark(6), S. Kent(6), M. Fukugita(6), Željko Ivezić(6), Robert H. Lupton(6), D. E. vanden Berk(6), Anže Slosar(6), Michael A. Strauss(5)