Quantification of Uncertainty with Adversarial Models. - Kajetan Schweighofer; Lukas Aichberger; Mykyta Ielanskyi; Günter Klambauer; Sepp Hochreiter (NeurIPS, 2023)

Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty. - Kajetan Schweighofer; Lukas Aichberger; Mykyta Ielanskyi; Sepp Hochreiter (CoRR, 2023)

Semantically Diverse Language Generation for Uncertainty Estimation in Language Models. - Lukas Aichberger; Kajetan Schweighofer; Mykyta Ielanskyi; Sepp Hochreiter (CoRR, 2024)

Rethinking Uncertainty Estimation in Natural Language Generation. - Lukas Aichberger; Kajetan Schweighofer; Sepp Hochreiter (CoRR, 2024)

Improving Uncertainty Estimation through Semantically Diverse Language Generation. - Lukas Aichberger; Kajetan Schweighofer; Mykyta Ielanskyi; Sepp Hochreiter (ICLR, 2025)

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

Attacking Multimodal OS Agents with Malicious Image Patches. - Lukas Aichberger; Alasdair Paren; Yarin Gal; Philip Torr 001; Adel Bibi (CoRR, 2025)