NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps. - Maximilian Seitzer; Andreas Foltyn; Felix P. Kemeth (CoRR, 2020)

Towards Reliable Multimodal Stress Detection under Distribution Shift. - Andreas Foltyn; Jessica Deuschel (ICMI Companion, 2021)

Investigation of Relation between Physiological Responses and Personality during Stress Recovery. - Bitan Saha; Linda Becker; Jens-Uwe Garbas; Maximilian P. Oppelt; Andreas Foltyn; Sebastian Hettenkofer; Nadine Lang; Matthias Struck; Nicolas Rohleder; Bhargavi Mahesh (PerCom Workshops, 2021)

Transformer-based Self-supervised Representation Learning for Emotion Recognition Using Bio-signal Feature Fusion. - Shrutika S. Sawant; F. X. Erick; Pulkit Arora; Jaspar Pahl; Andreas Foltyn; Nina Holzer; Theresa Götz (ACIIW, 2023)

ADABase: A Multimodal Dataset for Cognitive Load Estimation. - Maximilian P. Oppelt; Andreas Foltyn; Jessica Deuschel; Nadine R. Lang; Nina Holzer; Bjoern M. Eskofier; Seung Hee Yang (Sensors, 2023)

Evaluating the robustness of multimodal task load estimation models. - Andreas Foltyn; Jessica Deuschel; Nadine R. Lang-Richter; Nina Holzer; Maximilian P. Oppelt (Frontiers Comput. Sci., 2024)

RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG. - Rishiraj Saha Roy; Chris Hinze; Joel Schlotthauer; Farzad Naderi; Viktor Hangya; Andreas Foltyn; Luzian Hahn; Fabian Küch (BTW, 2025)

Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems. - Rishiraj Saha Roy; Joel Schlotthauer; Chris Hinze; Andreas Foltyn; Luzian Hahn; Fabian Küch (WSDM, 2025)