Mucsányi, Bálint

5 publications

ICLR 2025 Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel, Bálint Mucsányi, Osane Hackel, Philipp Hennig

NeurIPS 2025 Rethinking Approximate Gaussian Inference in Classification Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig

NeurIPS 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh

ICMLW 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh

NeurIPS 2023 URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Dr. Enkelejda Kasneci