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ORCIDUros Seljak
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2020 – today
- 2024
[i14]Minas Karamanis, Uros Seljak:
Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo. CoRR abs/2407.20722 (2024)- 2023
- [j5]Jakob Robnik, Giuseppe Bruno De Luca, Eva Silverstein, Uros Seljak:
Microcanonical Hamiltonian Monte Carlo. J. Mach. Learn. Res. 24: 311:1-311:34 (2023) - [i13]Biwei Dai
, Uros Seljak:
Multiscale Flow for Robust and Optimal Cosmological Analysis. CoRR abs/2306.04689 (2023) - [i12]James M. Sullivan, Uros Seljak:
Deterministic Langevin Unconstrained Optimization with Normalizing Flows. CoRR abs/2310.00745 (2023) - 2022
- [j4]Jakob Robnik, Uros Seljak:
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis. Entropy 24(10): 1328 (2022) - [j3]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): 4634 (2022) - [j2]Vanessa M. Boehm, Uros Seljak:
Probabilistic Autoencoder. Trans. Mach. Learn. Res. 2022 (2022) - [c3]Richard D. P. Grumitt, Biwei Dai, Uros Seljak:
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference. NeurIPS 2022 - [i11]Biwei Dai, Uros Seljak:
Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis. CoRR abs/2202.05282 (2022) - [i10]Uros Seljak, Richard D. P. Grumitt, Biwei Dai:
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference. CoRR abs/2205.14240 (2022) - [i9]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:
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series. CoRR abs/2207.07645 (2022) - 2021
- [j1]Chirag Modi, François Lanusse, Uros Seljak:
FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver. Astron. Comput. 37: 100505 (2021) - [c2]Biwei Dai, Uros Seljak:
Sliced Iterative Normalizing Flows. ICML 2021: 2352-2364 - 2020
- [i8]Vanessa Böhm, Uros Seljak:
Probabilistic Auto-Encoder. CoRR abs/2006.05479 (2020) - [i7]Biwei Dai, Uros Seljak:
Sliced Iterative Generator. CoRR abs/2007.00674 (2020) - [i6]Biwei Dai, Uros Seljak:
Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning. CoRR abs/2010.02926 (2020) - [i5]George Stein, Uros Seljak, Biwei Dai:
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation. CoRR abs/2012.11638 (2020)
2010 – 2019
- 2019
- [c1]He Jia, Uros Seljak:
Normalizing Constant Estimation with Gaussianized Bridge Sampling. AABI 2019: 1-14 - [i4]Uros Seljak, Byeonghee Yu:
Posterior inference unchained with EL_2O. CoRR abs/1901.04454 (2019) - [i3]Chirag Modi, Uros Seljak:
Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics. CoRR abs/1910.07178 (2019) - [i2]Vanessa Böhm, François Lanusse, Uros Seljak:
Uncertainty Quantification with Generative Models. CoRR abs/1910.10046 (2019) - [i1]He Jia, Uros Seljak:
Normalizing Constant Estimation with Gaussianized Bridge Sampling. CoRR abs/1912.06073 (2019)
Coauthor Index
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