Robert A. Vandermeulen

1. A Unifying Review of Deep and Shallow Anomaly Detection
   2021/02/05 by Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen +5 · 71 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #Imbalanced Data Classification Techniques
2. Human alignment of neural network representations
   2022/11/02 by Lukas Muttenthaler, Jonas Dippel, Muttenthaler, Lukas +7 · 2 voices · 8 citations
   Neuroscience · Computer Science · #Face Recognition and Perception #Domain Adaptation and Few-Shot Learning
3. VICE: Variational Interpretable Concept Embeddings
   2022/05/02 by Lukas Muttenthaler, Charles Zheng, Muttenthaler, Lukas +9 · 4 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Bayesian Modeling and Causal Inference
4. Improving neural network representations using human similarity judgments
   2023/06/07 by Lukas Muttenthaler, Lorenz Linhardt, Muttenthaler, Lukas +11 · 3 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
5. On The Identifiability of Mixture Models from Grouped Samples
   2015/02/23 by Robert A. Vandermeulen, Clayton Scott, Vandermeulen, Robert A. +1 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Limits and Structures in Graph Theory #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Tensor decomposition and applications
6. Breaking the curse of dimensionality in structured density estimation
   2024/10/10 by Robert A. Vandermeulen, Vandermeulen, Robert A., Wai Ming Tai +3 · 3 citations
   Mathematics · #60J10 #60J20 #62A09 #62G05 #62G07 #62M05 #62M40 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
7. Dimension-independent rates for structured neural density estimation
   2024/11/22 by Robert A. Vandermeulen, Vandermeulen, Robert A., Wai Ming Tai +3 · 1 voice · 3 citations
   Computer Science · Mathematics · Neuroscience · #60J10 #60J20 #62A09 #62G05 #62G07 #62M05 #62M40 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #I.4.10 #I.4.m #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function #Statistics Theory (math.ST) #cs.CV #cs.LG #math.ST #stat.ML
8. Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
   2022/05/23 by Philipp Liznerski, Liznerski, Philipp, Lukas Ruff +9 · 2 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric\n Density Estimation
   2022/04/02 by Robert A. Vandermeulen, Vandermeulen, Robert A., Antoine Ledent +1 · 2 citations
   Engineering · Mathematics · Medicine · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Pediatric Hepatobiliary Diseases and Treatments #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)