Anders Christensen

About Anders Christensen

Anders Christensen, With an exceptional h-index of 1 and a recent h-index of 1 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Machine learning, XAI, generative modelling.

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

Addressing caveats of neural persistence with deep graph persistence

DiffEnc: Variational Diffusion with a Learned Encoder

Image-free Classifier Injection for Zero-Shot Classification

Caveats of neural persistence in deep neural networks

Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions

Optimal variance control of the Score-Function gradient estimator for Importance-Weighted bounds

Anders Christensen Information

University

Position

Master's student

Citations(all)

8

Citations(since 2020)

8

Cited By

1

hIndex(all)

1

hIndex(since 2020)

1

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Google Scholar

Anders Christensen Skills & Research Interests

Machine learning

XAI

generative modelling

Top articles of Anders Christensen

Addressing caveats of neural persistence with deep graph persistence

arXiv preprint arXiv:2307.10865

2023/7/20

DiffEnc: Variational Diffusion with a Learned Encoder

arXiv preprint arXiv:2310.19789

2023/10/30

Anders Christensen
Anders Christensen

H-Index: 1

Ole Winther
Ole Winther

H-Index: 41

Image-free Classifier Injection for Zero-Shot Classification

2023

Caveats of neural persistence in deep neural networks

2023/6/18

Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions

2021/12/6

Anders Christensen
Anders Christensen

H-Index: 1

Joel Ferguson
Joel Ferguson

H-Index: 7

Optimal variance control of the Score-Function gradient estimator for Importance-Weighted bounds

Advances in Neural Information Processing Systems

2020

See List of Professors in Anders Christensen University(Danmarks Tekniske Universitet)