Uros Seljak

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo.

Minas Karamanis, Uros Seljak

CoRR, 2024

2023

Microcanonical Hamiltonian Monte Carlo.

Jakob Robnik, Giuseppe Bruno De Luca, Eva Silverstein, Uros Seljak

J. Mach. Learn. Res., 2023

Deterministic Langevin Unconstrained Optimization with Normalizing Flows.

James M. Sullivan, Uros Seljak

CoRR, 2023

Multiscale Flow for Robust and Optimal Cosmological Analysis.

Biwei Dai, Uros Seljak

CoRR, 2023

2022

pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology.

Minas Karamanis, David Nabergoj, Florian Beutler, John A. Peacock, Uros Seljak

J. Open Source Softw., November, 2022

Probabilistic Autoencoder.

Vanessa M. Boehm, Uros Seljak

Trans. Mach. Learn. Res., 2022

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

Jakob Robnik, Uros Seljak

Entropy, 2022

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series.

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, Rollin C. Thomas, Maria Vincenzi

CoRR, 2022

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

Biwei Dai, Uros Seljak

CoRR, 2022

Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference.

Richard D. P. Grumitt, Biwei Dai, Uros Seljak

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.

Chirag Modi, François Lanusse, Uros Seljak

Astron. Comput., 2021

Sliced Iterative Normalizing Flows.

Biwei Dai, Uros Seljak

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

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

George Stein, Uros Seljak, Biwei Dai

CoRR, 2020

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

Biwei Dai, Uros Seljak

CoRR, 2020

Sliced Iterative Generator.

Biwei Dai, Uros Seljak

CoRR, 2020

Probabilistic Auto-Encoder.

Vanessa Böhm, Uros Seljak

CoRR, 2020

2019

Uncertainty Quantification with Generative Models.

Vanessa Böhm, François Lanusse, Uros Seljak

CoRR, 2019

Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics.

Chirag Modi, Uros Seljak

CoRR, 2019

Posterior inference unchained with EL_2O.

Uros Seljak, Byeonghee Yu

CoRR, 2019

Normalizing Constant Estimation with Gaussianized Bridge Sampling.

He Jia, Uros Seljak

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019