Kajetan Schweighofer

According to our database, Kajetan Schweighofer authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

ImageSet2Text: Describing Sets of Images through Text.

Piera Riccio, Francesco Galati, Kajetan Schweighofer, Noa Garcia, Nuria Oliver

CoRR, March, 2025

On Information-Theoretic Measures of Predictive Uncertainty.

Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Improving Uncertainty Estimation through Semantically Diverse Language Generation.

Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Rethinking Uncertainty Estimation in Natural Language Generation.

Lukas Aichberger, Kajetan Schweighofer, Sepp Hochreiter

CoRR, 2024

The Disparate Benefits of Deep Ensembles.

Kajetan Schweighofer, Adrián Arnaiz-Rodríguez, Sepp Hochreiter, Nuria Oliver

CoRR, 2024

Semantically Diverse Language Generation for Uncertainty Estimation in Language Models.

Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

CoRR, 2024

2023

Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty.

Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

CoRR, 2023

Quantification of Uncertainty with Adversarial Models.

Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Dataset Perspective on Offline Reinforcement Learning.

Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning.

Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter

CoRR, 2021