Robert A. Vandermeulen

René Saitenmacher

IEEE Trans. Inf. Theory, April, 2024

Dimension-independent rates for structured neural density estimation.

[BibT_eX]

[DOI]

Wai Ming Tai

Bryon Aragam

CoRR, 2024

Breaking the curse of dimensionality in structured density estimation.

[BibT_eX]

[DOI]

Wai Ming Tai

Bryon Aragam

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Set Learning for Accurate and Calibrated Models.

[BibT_eX]

[DOI]

Qiuyi Zhang

Thomas Unterthiner

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Improving neural network representations using human similarity judgments.

[BibT_eX]

[DOI]

Lorenz Linhardt

Jonas Dippel

Katherine L. Hermann

Andrew K. Lampinen

Simon Kornblith

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human alignment of neural network representations.

[BibT_eX]

[DOI]

Jonas Dippel

Lorenz Linhardt

Simon Kornblith

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images.

[BibT_eX]

[DOI]

Philipp Liznerski

Billy Joe Franks

Trans. Mach. Learn. Res., 2022

VICE: Variational Interpretable Concept Embeddings.

[BibT_eX]

[DOI]

Charles Y. Zheng

Patrick McClure

Martin N. Hebart

Francisco Pereira

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Unifying Review of Deep and Shallow Anomaly Detection.

[BibT_eX]

[DOI]

Jacob R. Kauffmann

Proc. IEEE, 2021

Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation.

[BibT_eX]

[DOI]

Antoine Ledent

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Interpretable Concept Groups in CNNs.

[BibT_eX]

[DOI]

Saurabh Varshneya

Antoine Ledent

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Transfer-Based Semantic Anomaly Detection.

[BibT_eX]

[DOI]

Hakan Bilen

Proceedings of the 38th International Conference on Machine Learning, 2021

Explainable Deep One-Class Classification.

[BibT_eX]

[DOI]

Philipp Liznerski

Billy Joe Franks

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Improving Nonparametric Density Estimation with Tensor Decompositions.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Anomaly Detection by Residual Adaptation.

[BibT_eX]

[DOI]

Hakan Bilen

CoRR, 2020

Input Hessian Regularization of Neural Networks.

[BibT_eX]

[DOI]

Waleed Mustafa

CoRR, 2020

Rethinking Assumptions in Deep Anomaly Detection.

[BibT_eX]

[DOI]

Billy Joe Franks

CoRR, 2020

Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations.

[BibT_eX]

[DOI]

Alexander Ritchie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Semi-Supervised Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text.

[BibT_eX]

[DOI]

Yury Zemlyanskiy

Thomas Schnake

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Image Anomaly Detection with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Stephan Mandt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Deep One-Class Classification.

[BibT_eX]

[DOI]

Nico Görnitz

Shoaib Ahmed Siddiqui

Alexander Binder

Emmanuel Müller

Proceedings of the 35th International Conference on Machine Learning, 2018

2015

On The Identifiability of Mixture Models from Grouped Samples.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Consistency of Robust Kernel Density Estimators.

[BibT_eX]

[DOI]