Marcinkevičs, Ričards

8 publications

NeurIPS 2024 Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna, Ričards Marcinkevičs, Moritz Vandenhirtz, Julia E. Vogt

NeurIPS 2024 Stochastic Concept Bottleneck Models Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs, Julia E. Vogt

ICMLW 2024 Stochastic Concept Bottleneck Models Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs, Julia E Vogt

ICMLW 2024 Stochastic Concept Bottleneck Models Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs, Julia E Vogt

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

ICLR 2022 A Deep Variational Approach to Clustering Survival Data Laura Manduchi, Ričards Marcinkevičs, Michela C. Massi, Thomas Weikert, Alexander Sauter, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Bram Stieltjes, Julia E Vogt

MLHC 2022 Debiasing Deep Chest X-Ray Classifiers Using Intra- and Post-Processing Methods Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt

ICLR 2021 Interpretable Models for Granger Causality Using Self-Explaining Neural Networks Ričards Marcinkevičs, Julia E Vogt