Vogt, Julia

7 publications

NeurIPSW 2023 Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Ričards Marcinkevičs, Sonia Laguna, Moritz Vandenhirtz, Julia Vogt

NeurIPS 2023 Beyond Normal: On the Evaluation of Mutual Information Estimators Paweł Czyż, Frederic Grabowski, Julia Vogt, Niko Beerenwinkel, Alexander Marx

NeurIPS 2023 Differentiable Random Partition Models Thomas Sutter, Alain Ryser, Joram Liebeskind, Julia Vogt

NeurIPS 2023 Effective Bayesian Heteroscedastic Regression with Deep Neural Networks Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia Vogt

NeurIPS 2023 Tree Variational Autoencoders Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia Vogt

NeurIPS 2021 Deep Conditional Gaussian Mixture Model for Constrained Clustering Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia Vogt

NeurIPS 2020 Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas Sutter, Imant Daunhawer, Julia Vogt