Efficient Apriori based algorithms for privacy preserving frequent itemset mining. - Adrián Csiszárik; Szilvia Lestyán; András Lukács (CogInfoCom, 2014)

Gradient Regularization Improves Accuracy of Discriminative Models. - Dániel Varga; Adrián Csiszárik; Zsolt Zombori (CoRR, 2017)

Negative Sampling in Variational Autoencoders. - Adrián Csiszárik; Beatrix Benko; Dániel Varga (CoRR, 2019)

Visualizing Transfer Learning. - Róbert Szabó; Dániel Katona; Márton Csillag; Adrián Csiszárik; Dániel Varga (CoRR, 2020)

Similarity and Matching of Neural Network Representations. - Adrián Csiszárik; Péter Korösi-Szabó; Ákos K. Matszangosz; Gergely Papp; Dániel Varga (NeurIPS, 2021)

Towards Finding Longer Proofs. - Zsolt Zombori; Adrián Csiszárik; Henryk Michalewski; Cezary Kaliszyk; Josef Urban (TABLEAUX, 2021)

Mode combinability: Exploring convex combinations of permutation aligned models. - Adrián Csiszárik; Melinda F. Kiss; Péter Korösi-Szabó; Márton Muntag; Gergely Papp; Dániel Varga (Neural Networks, 2024)

The density of planar sets avoiding unit distances. - Gergely Ambrus; Adrián Csiszárik; Máté Matolcsi; Dániel Varga; Pál Zsámboki (Math. Program., 2024)