Schweighofer, Kajetan

13 publications

ICLRW 2025 Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger, Sepp Hochreiter

ICLR 2025 Improving Uncertainty Estimation Through Semantically Diverse Language Generation Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

UAI 2025 On Information-Theoretic Measures of Predictive Uncertainty Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

ICLRW 2025 Rethinking Uncertainty Estimation in Natural Language Generation Lukas Aichberger, Kajetan Schweighofer, Sepp Hochreiter

ICML 2025 The Disparate Benefits of Deep Ensembles Kajetan Schweighofer, Adrian Arnaiz-Rodriguez, Sepp Hochreiter, Nuria M Oliver

ICLRW 2024 How Many Opinions Does Your LLM Have? Improving Uncertainty Estimation in NLG Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

NeurIPSW 2023 Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

NeurIPSW 2023 Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

NeurIPS 2023 Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter

CoLLAs 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

NeurIPSW 2022 InfODist: Online Distillation with Informative Rewards Improves Generalization in Curriculum Learning Rahul Siripurapu, Vihang Prakash Patil, Kajetan Schweighofer, Marius-Constantin Dinu, Thomas Schmied, Luis Eduardo Ferro Diez, Markus Holzleitner, Hamid Eghbal-zadeh, Michael K. Kopp, Sepp Hochreiter

NeurIPSW 2022 InfODist: Online Distillation with Informative Rewards Improves Generalization in Curriculum Learning Rahul Siripurapu, Vihang Prakash Patil, Kajetan Schweighofer, Marius-Constantin Dinu, Thomas Schmied, Luis Eduardo Ferro Diez, Markus Holzleitner, Hamid Eghbal-zadeh, Michael K Kopp, Sepp Hochreiter

NeurIPSW 2021 Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Prakash Patil, Sepp Hochreiter