Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions. - Timo Wilm; Philipp Normann; Sophie Baumeister; Paul-Vincent Kobow (RecSys, 2023)

Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems. - Timo Wilm; Philipp Normann; Felix Stepprath (RecSys, 2024)

Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems. - Timo Wilm; Philipp Normann (RecSys, 2025)

Chasing Shadows: Pitfalls in LLM Security Research. - Jonathan Evertz; Niklas Risse; Nicolai Neuer; Andreas Müller 025; Philipp Normann; Gaetano Sapia; Srishti Gupta 004; David Pape; Soumya Shaw; Devansh Srivastav; Christian Wressnegger; Erwin Quiring; et al. (NDSS, 2026)

Post-Training Local LLM Agents for Linux Privilege Escalation with Verifiable Rewards. - Philipp Normann; Andreas Happe; Jürgen Cito; Daniel Arp (CoRR, 2026)