Exploiting Multiple EEG Data Domains with Adversarial Learning. - David Bethge; Philipp Hallgarten; Ozan Özdenizci; Ralf Mikut; Albrecht Schmidt 001; Tobias Grosse-Puppendahl (EMBC, 2022)

Domain-Invariant Representation Learning from EEG with Private Encoders. - David Bethge; Philipp Hallgarten; Tobias Grosse-Puppendahl; Mohamed Kari; Ralf Mikut; Albrecht Schmidt 001; Ozan Özdenizci (ICASSP, 2022)

EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. - David Bethge; Philipp Hallgarten; Tobias Grosse-Puppendahl; Mohamed Kari; Lewis L. Chuang; Ozan Özdenizci; Albrecht Schmidt 001 (SMC, 2022)

Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams. - David Bethge; Constantin Patsch; Philipp Hallgarten; Thomas Kosch (CHI Extended Abstracts, 2023)

TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. - Philipp Hallgarten; David Bethge; Ozan Özdenizci; Tobias Grosse-Puppendahl; Enkelejda Kasneci (EUSIPCO, 2023)

Story-Driven: Exploring the Impact of Providing Real-time Context Information on Automated Storytelling. - Jan Henry Belz; Lina Madlin Weilke; Anton Winter; Philipp Hallgarten; Enrico Rukzio; Tobias Grosse-Puppendahl (UIST, 2024)

GEARS: Generalizable Multi-Purpose Embeddings for Gaze and Hand Data in VR Interactions. - Philipp Hallgarten; Naveen Sendhilnathan; Ting Zhang 013; Ekta Sood; Tanya R. Jonker (UMAP, 2024)

Route2Vec: Enabling Efficient Use of Driving Context through Contextualized Route Representations. - Philipp Hallgarten; Thomas Kosch; Tobias Grosse-Puppendahl; Enkelejda Kasneci (MuC, 2025)

RouteLLM: A Large Language Model with Native Route Context Understanding to Enable Context-Aware Reasoning. - Philipp Hallgarten; Verena Jasmin Hallitschke; Enkelejda Kasneci; Michael Beigl; Tobias Grosse-Puppendahl (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)