Virtual Adversarial Lipschitz Regularization. - Dávid Terjék (CoRR, 2019)

Adversarial Lipschitz Regularization. - Dávid Terjék (ICLR, 2020)

Moreau-Yosida f-divergences. - Dávid Terjék (ICML, 2021)

Optimal transport with f-divergence regularization and generalized Sinkhorn algorithm. - Dávid Terjék; Diego González-Sánchez (AISTATS, 2022)

A framework for overparameterized learning. - Dávid Terjék; Diego González-Sánchez (CoRR, 2022)

MLPs at the EOC: Spectrum of the NTK. - Dávid Terjék; Diego González-Sánchez (CoRR, 2025)

MLPs at the EOC: Concentration of the NTK. - Dávid Terjék; Diego González-Sánchez (CoRR, 2025)

MLPs at the EOC: Dynamics of Feature Learning. - Dávid Terjék (CoRR, 2025)