Vandermeulen, Robert A.

17 publications

ICML 2025 Dimension-Independent Rates for Structured Neural Density Estimation Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam

NeurIPS 2024 Breaking the Curse of Dimensionality in Structured Density Estimation Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam

ICLR 2024 Set Learning for Accurate and Calibrated Models Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus Robert Muller

ICLR 2023 Human Alignment of Neural Network Representations Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith

NeurIPS 2023 Improving Neural Network Representations Using Human Similarity Judgments Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A Vandermeulen, Katherine Hermann, Andrew Lampinen, Simon Kornblith

TMLR 2022 Exposing Outlier Exposure: What Can Be Learned from Few, One, and Zero Outlier Images Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus Robert Muller, Marius Kloft

NeurIPSW 2022 Human Alignment of Neural Network Representations Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Simon Kornblith

NeurIPS 2022 VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler, Charles Y Zheng, Patrick McClure, Robert A Vandermeulen, Martin N Hebart, Francisco Pereira

NeurIPS 2021 Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation Robert A Vandermeulen, Antoine Ledent

ICLR 2021 Explainable Deep One-Class Classification Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus Robert Muller

IJCAI 2021 Learning Interpretable Concept Groups in CNNs Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft

ICML 2021 Transfer-Based Semantic Anomaly Detection Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen

NeurIPS 2020 Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations Alexander Ritchie, Robert A Vandermeulen, Clayton Scott

ICLR 2020 Deep Semi-Supervised Anomaly Detection Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft

ECML-PKDD 2018 Image Anomaly Detection with Generative Adversarial Networks Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft

NeurIPS 2014 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space Robert A Vandermeulen, Clayton Scott

COLT 2013 Consistency of Robust Kernel Density Estimators Robert A. Vandermeulen, Clayton D. Scott