Sliced Iterative Generator. - Biwei Dai; Uros Seljak (CoRR, 2020)

Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning. - Biwei Dai; Uros Seljak (CoRR, 2020)

Unsupervised in-distribution anomaly detection of new physics through conditional density estimation. - George Stein; Uros Seljak; Biwei Dai (CoRR, 2020)

Sliced Iterative Normalizing Flows. - Biwei Dai; Uros Seljak (ICML, 2021)

MADLens, a python package for fast and differentiable non-Gaussian lensing simulations. - Vanessa Böhm; Y. Feng; M. E. Lee; Biwei Dai (Astron. Comput., 2021)

Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference. - Richard D. P. Grumitt; Biwei Dai; Uros Seljak (NeurIPS, 2022)

Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis. - Biwei Dai; Uros Seljak (CoRR, 2022)

Multiscale Flow for Robust and Optimal Cosmological Analysis. - Biwei Dai; Uros Seljak (CoRR, 2023)