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Biwei Dai

Biwei Dai

University of California, Berkeley

H-index: 9

North America-United States

Contact Biwei Dai

About Biwei Dai

Biwei Dai, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of cosmology, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Multiscale Flow for robust and optimal cosmological analysis

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

arXiv: Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

Deterministic Langevin Monte Carlo with normalizing flows for Bayesian inference

Translation and rotation equivariant normalizing flow (TRENF) for optimal cosmological analysis

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics

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

Biwei Dai Information

University

Position

Physics graduate student

Citations(all)

370

Citations(since 2020)

369

Cited By

26

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Biwei Dai Skills & Research Interests

cosmology

machine learning

Top articles of Biwei Dai

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

arXiv preprint arXiv:2403.03490

2024/3/6

Biwei Dai
Biwei Dai

H-Index: 3

Uros Seljak
Uros Seljak

H-Index: 67

Multiscale Flow for robust and optimal cosmological analysis

Proceedings of the National Academy of Sciences

2024/2/27

Biwei Dai
Biwei Dai

H-Index: 3

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

arXiv preprint arXiv:2401.15891

2024/1/29

Biwei Dai
Biwei Dai

H-Index: 3

Francisco Villaescusa-Navarro
Francisco Villaescusa-Navarro

H-Index: 30

Uros Seljak
Uros Seljak

H-Index: 67

arXiv: Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

2022/9/15

Phiala Shanahan
Phiala Shanahan

H-Index: 21

Chase Shimmin
Chase Shimmin

H-Index: 21

Yin Lin
Yin Lin

H-Index: 5

Mia Liu
Mia Liu

H-Index: 23

Cora Dvorkin
Cora Dvorkin

H-Index: 31

Matthew Graham
Matthew Graham

H-Index: 10

Biwei Dai
Biwei Dai

H-Index: 3

Silviu-Marian Udrescu
Silviu-Marian Udrescu

H-Index: 5

Yi Huang
Yi Huang

H-Index: 8

Elham E Khoda
Elham E Khoda

H-Index: 49

Florencia Canelli
Florencia Canelli

H-Index: 126

Jesse Thaler
Jesse Thaler

H-Index: 44

Gage Dezoort
Gage Dezoort

H-Index: 23

Kazuhiro Terao
Kazuhiro Terao

H-Index: 26

Daniel Diaz
Daniel Diaz

H-Index: 14

Raghav Kansal
Raghav Kansal

H-Index: 2

Veronica Sanz
Veronica Sanz

H-Index: 4

Savannah Thais
Savannah Thais

H-Index: 64

Deming Chen
Deming Chen

H-Index: 30

Mark Neubauer
Mark Neubauer

H-Index: 159

Gert Aarts
Gert Aarts

H-Index: 31

Shih-Chieh Hsu
Shih-Chieh Hsu

H-Index: 7

Michael Coughlin
Michael Coughlin

H-Index: 74

Alexander Bogatskiy
Alexander Bogatskiy

H-Index: 5

Daniel Williams
Daniel Williams

H-Index: 39

Risi Kondor
Risi Kondor

H-Index: 21

Jin Huang
Jin Huang

H-Index: 5

Nan Lu
Nan Lu

H-Index: 4

Denis Boyda
Denis Boyda

H-Index: 9

Dmitrii Torbunov
Dmitrii Torbunov

H-Index: 5

Michael Kagan
Michael Kagan

H-Index: 140

Francisco Villaescusa-Navarro
Francisco Villaescusa-Navarro

H-Index: 30

Siddharth Mishra-Sharma
Siddharth Mishra-Sharma

H-Index: 16

Andrei Alexandru
Andrei Alexandru

H-Index: 28

Matthew Feickert
Matthew Feickert

H-Index: 4

Scott Hauck
Scott Hauck

H-Index: 23

Gautham Narayan
Gautham Narayan

H-Index: 36

Daniel Winklehner
Daniel Winklehner

H-Index: 9

David W Miller
David W Miller

H-Index: 18

Spencer Gessner
Spencer Gessner

H-Index: 18

Deterministic Langevin Monte Carlo with normalizing flows for Bayesian inference

Advances in Neural Information Processing Systems

2022/12/6

Biwei Dai
Biwei Dai

H-Index: 3

Uros Seljak
Uros Seljak

H-Index: 67

Translation and rotation equivariant normalizing flow (TRENF) for optimal cosmological analysis

Monthly Notices of the Royal Astronomical Society

2022/10

Biwei Dai
Biwei Dai

H-Index: 3

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics

2021/12/7

Florencia Canelli
Florencia Canelli

H-Index: 126

Biwei Dai
Biwei Dai

H-Index: 3

Veronica Sanz
Veronica Sanz

H-Index: 4

Jesse Thaler
Jesse Thaler

H-Index: 44

Silviu-Marian Udrescu
Silviu-Marian Udrescu

H-Index: 5

Daniel Williams
Daniel Williams

H-Index: 39

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

Astronomy and Computing

2021/7/1

Yu Feng
Yu Feng

H-Index: 3

Biwei Dai
Biwei Dai

H-Index: 3

Normalizing Flows with Translational and Rotational Symmetry for Optimal Cosmological Analysis

American Astronomical Society Meeting Abstracts

2021/6

Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian deep learning

Proceedings of the National Academy of Sciences

2021/4/20

Biwei Dai
Biwei Dai

H-Index: 3

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

arXiv preprint arXiv:2012.11638

2020/12/21

Uros Seljak
Uros Seljak

H-Index: 67

Biwei Dai
Biwei Dai

H-Index: 3

MADLens: Differentiable lensing simulator

Astrophysics Source Code Library

2020/12

Yu Feng
Yu Feng

H-Index: 3

Biwei Dai
Biwei Dai

H-Index: 3

Sliced iterative normalizing flows

arXiv preprint arXiv:2007.00674

2020/7/1

Biwei Dai
Biwei Dai

H-Index: 3

Uros Seljak
Uros Seljak

H-Index: 67

High mass and halo resolution from fast low resolution simulations

Journal of Cosmology and Astroparticle Physics

2020/4/1

Biwei Dai
Biwei Dai

H-Index: 3

Yu Feng
Yu Feng

H-Index: 3

Sukhdeep Singh
Sukhdeep Singh

H-Index: 1

See List of Professors in Biwei Dai University(University of California, Berkeley)