Uros Seljak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Bayesian Inference

Top Venues

Astron. Comput.

Publications

Minas Karamanis, Uros Seljak
Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo. CoRR (2024)
Biwei Dai, Uros Seljak
Multiscale Flow for Robust and Optimal Cosmological Analysis. CoRR (2023)
James M. Sullivan, Uros Seljak
Deterministic Langevin Unconstrained Optimization with Normalizing Flows. CoRR (2023)
Jakob Robnik, Uros Seljak
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis. Entropy 24 (10) (2022)
Minas Karamanis, David Nabergoj, Florian Beutler, John A. Peacock, Uros Seljak
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology. J. Open Source Softw. 7 (79) (2022)
Biwei Dai, Uros Seljak
Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis. CoRR (2022)
Richard D. P. Grumitt, Biwei Dai, Uros Seljak
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference. NeurIPS (2022)
George Stein, Uros Seljak, Vanessa Böhm, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, Sébastien Bongard, K. Boone, C. Buton, Y. Copin, S. Dixon, Dominique Fouchez, Emmanuel Gangler, R. Gupta, B. Hayden, W. Hillebrandt, M. Karmen, A. G. Kim, M. Kowalski, D. Kusters, P. F. Leget, F. Mondon, J. Nordin, R. Pain, E. Pecontal, R. Pereira, S. Perlmutter, K. A. Ponder, D. Rabinowitz, M. Rigault, D. Rubin, K. Runge, C. Saunders, G. Smadja, N. Suzuki, C. Tao, R. C. Thomas, M. Vincenzi
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series. CoRR (2022)
Uros Seljak, Richard D. P. Grumitt, Biwei Dai
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference. CoRR (2022)
Vanessa M. Boehm, Uros Seljak
Probabilistic Autoencoder. Trans. Mach. Learn. Res. 2022 (2022)
Chirag Modi, François Lanusse, Uros Seljak
FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver. Astron. Comput. 37 (2021)
Biwei Dai, Uros Seljak
Sliced Iterative Normalizing Flows. ICML (2021)
Vanessa Böhm, Uros Seljak
Probabilistic Auto-Encoder. CoRR (2020)
George Stein, Uros Seljak, Biwei Dai
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation. CoRR (2020)
Biwei Dai, Uros Seljak
Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning. CoRR (2020)
Biwei Dai, Uros Seljak
Sliced Iterative Generator. CoRR (2020)
Vanessa Böhm, François Lanusse, Uros Seljak
Uncertainty Quantification with Generative Models. CoRR (2019)
Uros Seljak, Byeonghee Yu
Posterior inference unchained with EL_2O. CoRR (2019)
He Jia, Uros Seljak
Normalizing Constant Estimation with Gaussianized Bridge Sampling. CoRR (2019)
He Jia, Uros Seljak
Normalizing Constant Estimation with Gaussianized Bridge Sampling. AABI (2019)
Chirag Modi, Uros Seljak
Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics. CoRR (2019)