Publications

2025

Ola Rønning, Eric Nalisnick, Christophe Ley, Thomas Hamelryck (2025). ELBOing Stein: Variational Bayes with Stein Mixture Inference. International Conference on Learning Representation.

2024

Jon Eklöf, Ulrika Snis, Thomas Hamelryck, Alexander Grima, Ola Rønning (2024). AI Implementation and Capability Development in Manufacturing: An Action Research Case. Hawaii International Conference on System Sciences.

2022

Robert Schenck, Ola Rønning, Troels Henriksen, Cosmin E. Oancea (2022). AD for an Array Language with Nested Parallelism. International Conference for High Performance Computing, Networking, Storage and Analysis.

2021

Lys S. Moreta, Ola Rønning, Ahmad S. Al-Sibahi, Jotun Hein, Douglas Theobald, Thomas Hamelryck (2021). Ancestral Protein Sequence Reconstruction using a Tree-Structured Ornstein-Uhlenbeck Variational Autoencoder. International Conference on Learning Representation.
Ola Rønning, Christophe Ley, Kanti V. Mardia, Thomas Hamelryck (2021). Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

2018

Ola Rønning, Daniel Hardt, Anders Søgaard (2018). Linguistic Representations in Multi-task Neural Networks for Ellipsis Resolution. EMNLP Workshop on Analyzing and Interpreting Neural Networks for NLP.
Ola Rønning, Daniel Hardt, Anders Søgaard (2018). Sluice resolution without hand-crafted features over brittle syntax trees. Conference of the North American Chapter of the Association for Computational Linguistics.