Biwei Dai

According to our database, Biwei Dai authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology.

Biwei Dai, Po-Wen Chang, Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Isabelle Guyon, Christopher J. Harris, Elham E Khoda, Benjamin Nachman, David Rousseau, Uros Seljak, Ihsan Ullah, Yulei Zhang

CoRR, April, 2026

Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research.

Thomas Borrett, Licong Xu, Andy Nilipour, Boris Bolliet, Sebastien Pierre, Erwan Allys, Celia Lecat, Biwei Dai, Po-Wen Chang, Wahid Bhimji

CoRR, April, 2026

2023

Multiscale Flow for Robust and Optimal Cosmological Analysis.

Biwei Dai, Uros Seljak

CoRR, 2023

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

MADLens, a python package for fast and differentiable non-Gaussian lensing simulations.

Vanessa Böhm, Y. Feng, M. E. Lee, Biwei Dai

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