Uros Seljak

Orcid: 0000-0003-2262-356X

According to our database1, Uros Seljak authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo.
CoRR, 2024

2023
Microcanonical Hamiltonian Monte Carlo.
J. Mach. Learn. Res., 2023

Deterministic Langevin Unconstrained Optimization with Normalizing Flows.
CoRR, 2023

Multiscale Flow for Robust and Optimal Cosmological Analysis.
CoRR, 2023

2022
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology.
J. Open Source Softw., November, 2022

Probabilistic Autoencoder.
Trans. Mach. Learn. Res., 2022

Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis.
Entropy, 2022

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series.
CoRR, 2022

Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis.
CoRR, 2022

Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver.
Astron. Comput., 2021

Sliced Iterative Normalizing Flows.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation.
CoRR, 2020

Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning.
CoRR, 2020

Sliced Iterative Generator.
CoRR, 2020

Probabilistic Auto-Encoder.
CoRR, 2020

2019
Uncertainty Quantification with Generative Models.
CoRR, 2019

Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics.
CoRR, 2019

Posterior inference unchained with EL_2O.
CoRR, 2019

Normalizing Constant Estimation with Gaussianized Bridge Sampling.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019


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