Flexcoder: Practical Program Synthesis with Flexible Input Lengths and Expressive Lambda Functions. - Bálint Gyarmathy; Bálint Mucsányi; Ádám Czapp; Dávid Szilágyi; Balázs Pintér (ICPRAM, 2021)

Flexible Example-Based Program Synthesis on Tree-Structured Function Compositions. - Bálint Mucsányi; Bálint Gyarmathy; Ádám Czapp; Balázs Pintér (SN Comput. Sci., 2022)

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

Trustworthy Machine Learning. - Bálint Mucsányi; Michael Kirchhof; Elisa Nguyen; Alexander Rubinstein 002; Seong Joon Oh (CoRR, 2023)

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks. - Bálint Mucsányi; Michael Kirchhof; Seong Joon Oh (NeurIPS, 2024)

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

Rethinking Approximate Gaussian Inference in Classification. - Bálint Mucsányi; Nathaël Da Costa; Philipp Hennig (CoRR, 2025)

sbi reloaded: a toolkit for simulation-based inference workflows. - Jan Boelts; Michael Deistler; Manuel Glöckler; Álvaro Tejero-Cantero; Jan-Matthis Lueckmann; Guy Moss 001; Peter Steinbach; Thomas Moreau 001; Fabio Muratore; Julia Linhart; Conor Durkan; Julius Vetter; et al. (J. Open Source Softw., 2025)

Geometric Gaussian Approximations of Probability Distributions. - Nathaël Da Costa; Bálint Mucsányi; Philipp Hennig (CoRR, 2025)

Kronecker-factored Approximate Curvature (KFAC) From Scratch. - Felix Dangel; Bálint Mucsányi; Tobias Weber; Runa Eschenhagen (CoRR, 2025)

Logit Reweighting for Topic-Focused Summarization. - Joschka Braun; Bálint Mucsányi; Seyed Ali Bahrainian (CoRR, 2025)

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning. - Patrik Reizinger; Bálint Mucsányi; Siyuan Guo; Benjamin Eysenbach; Bernhard Schölkopf; Wieland Brendel (CoRR, 2025)

laplax - Laplace Approximations with JAX. - Tobias Weber; Bálint Mucsányi; Lenard Rommel; Thomas Christie; Lars Kasüschke; Marvin Pförtner; Philipp Hennig (CoRR, 2025)