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On Valency

published · living versions
W_ff3r7c8x·v1 · currentpublished

Preprints & journals

221 papers in the corpus · 1993–2026
Remembering George Smoot2607.13063v1 · John Berliner, Tom Broadhurst, Martin Bucher et al.2026 · 0 citationsarXiv
Field-Level Inference from Galaxies: BAO Reconstruction2603.15732v1 · Adrian E. Bayer, Liam Parker, David Valcin et al.2026 · 0 citationsarXiv
The Age of the Universe with Globular Clusters IV: Multiple Stellar Populations2603.04872v1 · David Valcin, Raul Jimenez, Carmela Lardo et al.2026 · 1 citationarXiv
Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis2602.22074v1 · Argyro Sasli, Minas Karamanis, Nikolaos Karnesis et al.2026 · 1 citationarXiv
Counterdiabatic Hamiltonian Monte Carlo2602.21272v1 · Reuben Cohn-Gordon, Uros Seljak, Dries Sels2026 · 0 citationsarXiv
Can Microcanonical Langevin Dynamics Leverage Mini-Batch Gradient Noise?2602.06500v2 · Emanuel Sommer, Kangning Diao, Jakob Robnik et al.2026 · 0 citationsarXiv
Faster parallel MCMC: Metropolis adjustment is best served warm2601.16696v1 · Jakob Robnik, Uros Seljak2026 · 0 citationsarXiv
Reassessment of Kepler's habitable zone Earth-like exoplanets with data-driven null signal templates.41055991 · Robnik, Jakob, Seljak, Uroš2026 · 2 citationsProceedings of the National Academy of Sciences of the United States of America. 2025;122(41):e2513927122
Validating Sequential Monte Carlo for Gravitational-Wave Inference2506.18977v1 · Michael J. Williams, Minas Karamanis, Yilin Luo et al.2025 · 7 citationsMon Not R Astron Soc (2025) 1479-1493
Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps2505.00632v2 · Kangning Diao, Biwei Dai, Uros Seljak2025 · 2 citationsJCAP08(2025)004
Local Primordial non-Gaussian Bias from Time Evolution2503.21736v1 · James M. Sullivan, Uros Seljak2025 · 5 citationsarXiv
The Spectroscopic Stage-5 Experiment2503.07923v3 · Robert Besuner, Arjun Dey, Alex Drlica-Wagner et al.2025 · 2 citationsarXiv
Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo2503.01707v2 · Jakob Robnik, Reuben Cohn-Gordon, Uros Seljak2025 · 0 citationsarXiv
The Simons Observatory: Science Goals and Forecasts for the Enhanced Large Aperture Telescope2503.00636v3 · M. Abitbol, I. Abril-Cabezas, S. Adachi et al.2025 · 70 citationsarXiv
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks2502.06335v1 · Emanuel Sommer, Jakob Robnik, Giorgi Nozadze et al.2025 · 0 citationsarXiv
Selecting samples of galaxies with fewer Fingers-of-God2501.10587v3 · Ant'on Baleato Lizancos, Uros Seljak, Minas Karamanis et al.2025 · 8 citationsJCAP07(2025)014
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo2407.20722v3 · Minas Karamanis, Uros Seljak2024 · 5 citationsarXiv
Periodicity significance testing with null-signal templates: reassessment of PTF's SMBH binary candidates2407.17565v1 · Jakob Robnik, Adrian E. Bayer, Maria Charisi et al.2024 · 14 citationsarXiv
Multiscale Flow for robust and optimal cosmological analysis.38381782 · Dai, Biwei, Seljak, Uroš2024 · 28 citationsProceedings of the National Academy of Sciences of the United States of America. 2024;121(9):e2309624121
A field-level emulator for modeling baryonic effects across hydrodynamic simulations2401.15891v1 · Divij Sharma, Biwei Dai, Francisco Villaescusa-Navarro et al.2024 · 13 citationsarXiv
Deterministic Langevin Unconstrained Optimization with Normalizing Flows2310.00745v1 · James M. Sullivan, Uros Seljak2023 · 0 citationsarXiv
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems2309.11490v1 · Richard D.P. Grumitt, Minas Karamanis, Uros Seljak2023 · 2 citationsarXiv
Field-Level Inference with Microcanonical Langevin Monte Carlo2307.09504v1 · Adrian E. Bayer, Uros Seljak, Chirag Modi2023 · 8 citationsarXiv
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo2303.18221v3 · Jakob Robnik, Uros Seljak2023 · 3 citationsPublished in Proceedings of Machine Learning Research (PMLR), 253 (2024) 111--126
Learning to Concentrate: Multi-tracer Forecasts on Local Primordial Non-Gaussianity with Machine-Learned Bias2303.08901v2 · James M Sullivan, Tijan Prijon, Uros Seljak2023 · 33 citationsJCAP Volume 2023, Issue 08, id.004, 33 pp
Microcanonical Hamiltonian Monte Carlo2212.08549v3 · Jakob Robnik, G. Bruno De Luca, Eva Silverstein et al.2022 · 11 citationsarXiv
RSD measurements from BOSS galaxy power spectrum using the halo perturbation theory model2211.16794v2 · Byeonghee Yu, Uros Seljak, Yin Li et al.2022 · 17 citationsarXiv
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis.37420349 · Robnik, Jakob, Seljak, Uroš2024 · 6 citationsEntropy (Basel, Switzerland). 2022;24(10)
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series2207.07645v1 · George Stein, Uros Seljak, Vanessa Bohm et al.2022 · 15 citationsarXiv
Accelerating astronomical and cosmological inference with Preconditioned Monte Carlo2207.05652v1 · Minas Karamanis, Florian Beutler, John A. Peacock et al.2022 · 64 citationsarXiv
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology2207.05660v1 · Minas Karamanis, David Nabergoj, Florian Beutler et al.2022 · 46 citationsarXiv
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference2205.14240v2 · Richard D.P. Grumitt, Biwei Dai, Uros Seljak2022 · 2 citationsarXiv
MUSE: Marginal Unbiased Score Expansion and Application to CMB Lensing2112.09354v2 · Marius Millea, Uros Seljak2021 · 34 citationsarXiv
Beware of Fake ν\nus: The Effect of Massive Neutrinos on the Nonlinear Evolution of Cosmic Structure2108.04215v2 · Adrian E. Bayer, Arka Banerjee, Uros Seljak2021 · 34 citationsPhys. Rev. D 105, 123510 (2022)
Estimating COVID-19 mortality in Italy early in the COVID-19 pandemic.33980836 · Modi, Chirag, Böhm, Vanessa, Ferraro, Simone et al.2021 · 80 citationsNature communications. 2021;12(1):2729
An Analytic Hybrid Halo + Perturbation Theory Model for Small-scale Correlators: Baryons, Halos, and Galaxies2104.10676v2 · James M. Sullivan, Uros Seljak, Sukhdeep Singh2021 · 21 citationsJCAP Volume 2021, Issue 11, id.026, 47 pp
Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian deep learning.33853944 · Dai, Biwei, Seljak, Uroš2023 · 45 citationsProceedings of the National Academy of Sciences of the United States of America. 2021;118(16)
Career total: at least 323 works. 221 are in this corpus.Showing the 50 most recent.

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