Paulius Rauba

According to our database, Paulius Rauba authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Tiny Autoregressive Recursive Models.

Paulius Rauba, Claudio Fanconi, Mihaela van der Schaar

CoRR, March, 2026

Multi-Agent Systems Should be Treated as Principal-Agent Problems.

Paulius Rauba, Simonas Cepenas, Mihaela van der Schaar

CoRR, January, 2026

No More, No Less: Least-Privilege Language Models.

Paulius Rauba, Dominykas Seputis, Patrikas Vanagas, Mihaela van der Schaar

CoRR, January, 2026

Probabilistic Transformers for Joint Modeling of Global Weather Dynamics and Decision-Centric Variables.

Paulius Rauba, Viktor Cikojevic, Fran Bartolic, Sam Levang, Ty Dickinson, Chase Dwelle

CoRR, January, 2026

2025

Deep Hierarchical Learning with Nested Subspace Networks.

Paulius Rauba, Mihaela van der Schaar

CoRR, September, 2025

Redefining digital health interfaces with large language models.

Fergus Imrie, Paulius Rauba, Mihaela van der Schaar

Frontiers Artif. Intell., 2025

Statistical Hypothesis Testing for Auditing Robustness in Language Models.

Paulius Rauba, Qiyao Wei, Mihaela van der Schaar

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Visualizing token importance for black-box language models.

Paulius Rauba, Qiyao Wei, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Quantifying perturbation impacts for large language models.

Paulius Rauba, Qiyao Wei, Mihaela van der Schaar

CoRR, 2024

Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models.

Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments.

Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset.

Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021