Julia E. Vogt
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
9
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Steering Generative Models for Accessibility: EasyRead Image Generation. | Nicolas Dickenmann, Yanis Merzouki, Sonia Laguna, Thy Nowak-Tran, Emanuele Palumbo, Julia E. Vogt, Gerda Binder |
| 2025 | ICLR | Cross-Entropy Is All You Need To Invert the Data Generating Process. | Patrik Reizinger, Alice Bizeul, Attila Juhos, Julia E. Vogt, Randall Balestriero, Wieland Brendel, David A. Klindt |
| 2025 | ICML | scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data. | Olga Ovcharenko, Florian Barkmann, Philip Toma, Imant Daunhawer, Julia E. Vogt, Sebastian Schelter, Valentina Boeva |
| 2025 | ICML | From Logits to Hierarchies: Hierarchical Clustering made Simple. | Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt |
| 2025 | ICML | From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection. | Moritz Vandenhirtz, Julia E. Vogt |
| 2025 | MICCAI | Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. | Boqi Chen, Cdric Vincent-Cuaz, Lydia A. Schoenpflug, Manuel Madeira, Lisa Fournier, Vaishnavi Subramanian, Sonali Andani, Samuel Ruiprez-Campillo, Julia E. Vogt, Raphalle Luisier, Dorina Thanou, Viktor H. Koelzer, Pascal Frossard, Gabriele Campanella, Gunnar Rtsch |
| 2024 | CHI | What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks. | Kacper Sokol, Julia E. Vogt |
| 2024 | ICLR | Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders. | Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphn Chopard, Julia E. Vogt |
| 2023 | EMNLP | This Reads Like That: Deep Learning for Interpretable Natural Language Processing. | Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, Julia E. Vogt |
| 2023 | ICLR | Identifiability Results for Multimodal Contrastive Learning. | Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt |
| 2023 | ICLR | MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises. | Emanuele Palumbo, Imant Daunhawer, Julia E. Vogt |
| 2023 | ICLR | How robust is unsupervised representation learning to distribution shift? | Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal |
| 2023 | ICLR | Learning Group Importance using the Differentiable Hypergeometric Distribution. | Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt |
| 2023 | ICMI | Breathing New Life into COPD Assessment: Multisensory Home-monitoring for Predicting Severity. | Zixuan Xiao, Michal Muszynski, Ricards Marcinkevics, Lukas Zimmerli, Adam Daniel Ivankay, Dario Kohlbrenner, Manuel Kuhn, Yves Nordmann, Ulrich Muehlner, Christian F. Clarenbach, Julia E. Vogt, Thomas Brunschwiler |
| 2023 | ICML | On the Identifiability and Estimation of Causal Location-Scale Noise Models. | Alexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schlkopf, Peter Bhlmann, Alexander Marx |
| 2022 | ICLR | On the Limitations of Multimodal VAEs. | Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt |
| 2022 | ICLR | A Deep Variational Approach to Clustering Survival Data. | Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Thomas J. Weikert, Alexander Sauter, Verena Gotta, Timothy Mller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Bram Stieltjes, Julia E. Vogt |
| 2021 | ICAART | Decoupling State Representation Methods from Reinforcement Learning in Car Racing. | Juan M. Montoya, Imant Daunhawer, Julia E. Vogt, Marco A. Wiering |
| 2021 | ICLR | Interpretable Models for Granger Causality Using Self-explaining Neural Networks. | Ricards Marcinkevics, Julia E. Vogt |
| 2021 | ICLR | Generalized Multimodal ELBO. | Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt |
| 2021 | ICMLA | Learning Medical Risk Scores for Pediatric Appendicitis. | Pedro Roig Aparicio, Ricards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, Christian Knorr, Julia E. Vogt |
| 2019 | AIME | Bayesian Clustering for HIV1 Protease Inhibitor Contact Maps. | Sandhya Prabhakaran, Julia E. Vogt |
| 2012 | ICML | A Complete Analysis of the l_1, p Group-Lasso. | Julia E. Vogt, Volker Roth |
| 2010 | ICML | The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data. | Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs, Volker Roth |