2024
- Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick. Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction. European Conference on Computer Vision (ECCV), 2024.
- Başak Melis Öcal, Maxim Tatarchenko, Sezer Karaoğlu, Theo Gevers. SceneTeller: Language-to-3D Scene Generation. European Conference on Computer Vision (ECCV), 2024.
- Metod Jazbec, Patrick Forré, Stephan Mandt, Dan Zhang, Eric Nalisnick. Early-Exit Neural Networks with Nested Prediction Sets. The Conference on Uncertainty in Artificial Intelligence (UAI), 2024.
- T. Anderson Keller, Lyle Muller, Terrence Sejnowski, Max Welling. Traveling Waves Encode the Recent Past and Enhance Sequence Learning. International Conference on Learning Representations (ICLR), 2024.
2023
- Metod Jazbec, James U. Allingham, Dan Zhang, Eric Nalisnick. Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity. Advances in Neural Information Processing Systems (NeurIPS), 2023.
- Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling. Flow Factorized Representation Learning. Advances in Neural Information Processing Systems (NeurIPS), 2023
- T. Anderson Keller, Max Welling. Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks. International Conference on Machine Learning (ICML), 2023.
- Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling. Latent Traversals in Generative Models as Potential Flows. International Conference on Machine Learning (ICML), 2023.
2022
- Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling. Complex-Valued Autoencoders for Object Discovery. Transactions on Machine Learning Research (TMLR), 2022.
- Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold Smeulders. LieGG: Studying Learned Lie Group Generators. Advances in Neural Information Processing Systems (NeurIPS), 2022.
- Artem Moskalev, Ivan Sosnovik, Volker Fisher, Arnold Smeulders. Contrasting Quadratic Assignments for Set-Based Representation Learning. European Conference on Computer Vision (ECCV), 2022.
- Sindy Löwe, David Madras, Richard Zemel, Max Welling. Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. Causal Learning and Reasoning (CLeaR), 2022.