Maxime Vandegar

Maxime Vandegar

Stanford University

H-index: 3

North America-United States

About Maxime Vandegar

Maxime Vandegar, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Neural Rendering, 3d Reconstruction, Machine Learning, Generative Modeling, Simulation-based Inference.

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

Systems and Methods for Light Field Imaging with Mirror Arrays

Dynamic NeRFs for Soccer Scenes

Artificial Intelligence for Atom Interferometry (AI2)

Axion dark matter

Novel light field imaging device with enhanced light collection for cold atom clouds

New horizons: scalar and vector ultralight dark matter

submitter: Axion Dark Matter

arXiv: New Horizons: Scalar and Vector Ultralight Dark Matter

Maxime Vandegar Information

University

Position

Research Physical Scientist SLAC

Citations(all)

151

Citations(since 2020)

151

Cited By

0

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Maxime Vandegar Skills & Research Interests

Neural Rendering

3d Reconstruction

Machine Learning

Generative Modeling

Simulation-based Inference

Top articles of Maxime Vandegar

Systems and Methods for Light Field Imaging with Mirror Arrays

2023/11/16

Dynamic NeRFs for Soccer Scenes

2023/10/29

Maxime Vandegar
Maxime Vandegar

H-Index: 0

Olivier Barnich
Olivier Barnich

H-Index: 8

Artificial Intelligence for Atom Interferometry (AI2)

Bulletin of the American Physical Society

2023/3/8

Axion dark matter

arXiv preprint arXiv:2203.14923

2022/3/28

Novel light field imaging device with enhanced light collection for cold atom clouds

Journal of Instrumentation

2022/8/18

New horizons: scalar and vector ultralight dark matter

arXiv preprint arXiv:2203.14915

2022/3/28

submitter: Axion Dark Matter

2022/3/28

arXiv: New Horizons: Scalar and Vector Ultralight Dark Matter

2022/3/28

Neural empirical Bayes: Source distribution estimation and its applications to simulation-based inference

2020/4

See List of Professors in Maxime Vandegar University(Stanford University)

Co-Authors

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