On Generalization and Regularization in Deep Learning. - Pirmin Lemberger (CoRR, 2017)

A Primer on Domain Adaptation. - Pirmin Lemberger; Ivan Panico (CoRR, 2020)

Deep Learning Models for Automatic Summarization. - Pirmin Lemberger (CoRR, 2020)

Reconciling Causality and Statistics. - Pirmin Lemberger; Denis Oblin (CoRR, 2020)

Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning. - Jean Vassoyan; Jill-Jênn Vie; Pirmin Lemberger (EDM, 2023)

Fair Evaluation of Graph Markov Neural Networks. - Pirmin Lemberger; Antoine Saillenfest (CoRR, 2023)

Explaining Text Classifiers with Counterfactual Representations. - Pirmin Lemberger; Antoine Saillenfest (ECAI, 2024)

Nonlinear Concept Erasure: a Density Matching Approach. - Antoine Saillenfest; Pirmin Lemberger (CoRR, 2025)