NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (18)

astro-ph.CO2018

A gradient based method for modeling baryons and matter in halos of fast simulations

Biwei Dai, Yu Feng, Uros Seljak

astro-ph.CO2025

Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps

Kangning Diao, Biwei Dai, Uros Seljak

astro-ph.GA2018

Around The Way: Testing $Λ$CDM with Milky Way Stellar Stream Constraints

Biwei Dai, Brant E. Robertson, Piero Madau

astro-ph.IM2024

Rubin ToO 2024: Envisioning the Vera C. Rubin Observatory LSST Target of Opportunity program

Igor Andreoni, Raffaella Margutti, John Banovetz +86

astro-ph.CO2020

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

Biwei Dai, Uros Seljak

astro-ph.CO2024

A comparative study of cosmological constraints from weak lensing using Convolutional Neural Networks

Divij Sharma, Biwei Dai, Uros Seljak

astro-ph.CO2024

A field-level emulator for modeling baryonic effects across hydrodynamic simulations

Divij Sharma, Biwei Dai, Francisco Villaescusa-Navarro +1

astro-ph.CO2020

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

Vanessa Böhm, Yu Feng, Max E. Lee +1

astro-ph.CO2019

High mass and halo resolution from fast low resolution simulations

Biwei Dai, Yu Feng, Uros Seljak +1

astro-ph.CO2026

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

Biwei Dai, Po-Wen Chang, Wahid Bhimji +15

cs.AI2026

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

Thomas Borrett, Licong Xu, Andy Nilipour +7

cs.LG2021

Sliced Iterative Normalizing Flows

Biwei Dai, Uros Seljak

stat.ML2022

Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference

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

astro-ph.CO2022

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

Biwei Dai, Uros Seljak

hep-ph2021

The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics

Gregor Kasieczka, Benjamin Nachman, David Shih +44

cs.LG2020

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

George Stein, Uros Seljak, Biwei Dai

astro-ph.CO2026

One latent to fit them all: a unified representation of baryonic feedback on matter distribution

Shurui Lin, Yin Li, Shy Genel +4

astro-ph.CO2024

Multiscale Flow for Robust and Optimal Cosmological Analysis

Biwei Dai, Uros Seljak