Mykyta Ielanskyi

According to our database, Mykyta Ielanskyi authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs.

Christoph Bartmann, Johannes Schimunek, Mykyta Ielanskyi, Philipp Seidl, Günter Klambauer, Sohvi Luukkonen

CoRR, January, 2026

2025

Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation.

Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger, Sepp Hochreiter

CoRR, October, 2025

Uncertainty Quantification for Regression using Proper Scoring Rules.

Alexander Fishkov, Kajetan Schweighofer, Mykyta Ielanskyi, Nikita Kotelevskii, Mohsen Guizani, Maxim Panov

CoRR, September, 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

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