Robert A. Vandermeulen
@robvdm.bsky.social
AI and machine learning researcher based in Berlin, Germany.
-Nonparametric tensor methods.
-Deep anomaly detection
ravdm.github.io
scholar.google.com/citations?user=eSjfzOUAAAAJ
orcid.org/0000-0001-6863-7006
-Nonparametric tensor methods.
-Deep anomaly detection
ravdm.github.io
scholar.google.com/citations?user=eSjfzOUAAAAJ
orcid.org/0000-0001-6863-7006
I'm happy to share our work "Dimension-independent rates for structured neural density estimation" was accepted to ICML! This furthers our new approach on sample-efficient high-dimensional nonparametric statistics!
Preprint: arxiv.org/abs/2411.15095 (old version)
w/ Wai Ming Tai and Bryon Aragam
Preprint: arxiv.org/abs/2411.15095 (old version)
w/ Wai Ming Tai and Bryon Aragam
Dimension-independent rates for structured neural density estimation
We show that deep neural networks achieve dimension-independent rates of convergence for learning structured densities such as those arising in image, audio, video, and text applications. More precise...
arxiv.org
May 1, 2025 at 12:51 PM
I'm happy to share our work "Dimension-independent rates for structured neural density estimation" was accepted to ICML! This furthers our new approach on sample-efficient high-dimensional nonparametric statistics!
Preprint: arxiv.org/abs/2411.15095 (old version)
w/ Wai Ming Tai and Bryon Aragam
Preprint: arxiv.org/abs/2411.15095 (old version)
w/ Wai Ming Tai and Bryon Aragam
Excited to share 2 new papers showing how a Markov random field assumption improves density estimation—especially for dependencies in image, audio, and text data. This assumption is orthogonal to the manifold hypothesis! 📊📚
NeurIPS openreview.net/pdf?id=dWwin2uGYE
Preprint arxiv.org/abs/2411.15095
NeurIPS openreview.net/pdf?id=dWwin2uGYE
Preprint arxiv.org/abs/2411.15095
openreview.net
December 9, 2024 at 10:46 AM
Excited to share 2 new papers showing how a Markov random field assumption improves density estimation—especially for dependencies in image, audio, and text data. This assumption is orthogonal to the manifold hypothesis! 📊📚
NeurIPS openreview.net/pdf?id=dWwin2uGYE
Preprint arxiv.org/abs/2411.15095
NeurIPS openreview.net/pdf?id=dWwin2uGYE
Preprint arxiv.org/abs/2411.15095