Robert A. Vandermeulen

Orcid: 0000-0001-6863-7006

According to our database1, Robert A. Vandermeulen authored at least 23 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generalized Identifiability Bounds for Mixture Models With Grouped Samples.
IEEE Trans. Inf. Theory, April, 2024

2023
Set Learning for Accurate and Calibrated Models.
CoRR, 2023

Improving neural network representations using human similarity judgments.
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.
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.
Trans. Mach. Learn. Res., 2022

VICE: Variational Interpretable Concept Embeddings.
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.
Proc. IEEE, 2021

Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation.
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.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Transfer-Based Semantic Anomaly Detection.
Proceedings of the 38th International Conference on Machine Learning, 2021

Explainable Deep One-Class Classification.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Improving Nonparametric Density Estimation with Tensor Decompositions.
CoRR, 2020

Deep Anomaly Detection by Residual Adaptation.
CoRR, 2020

Input Hessian Regularization of Neural Networks.
CoRR, 2020

Rethinking Assumptions in Deep Anomaly Detection.
CoRR, 2020

Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Semi-Supervised Anomaly Detection.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Image Anomaly Detection with Generative Adversarial Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Deep One-Class Classification.
Proceedings of the 35th International Conference on Machine Learning, 2018

2015
On The Identifiability of Mixture Models from Grouped Samples.
CoRR, 2015

2014
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space.
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.
Proceedings of the COLT 2013, 2013


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