Firmware verification and simulation in IBM zEnterprise 196. - Stefan Koerner; Constantin Werner; Thomas Hess; Philip Schulz; Markus Strasser; Sven Wagner; Harald Böhm; Martin Troester; Dirk Bolte; Herwig Elfering; Thomas Pohl; Klaus Theurich; et al. (IBM J. Res. Dev., 2012)

Word Alignment without NULL Words. - Philip Schulz; Wilker Aziz; Khalil Sima'an (ACL (2), 2016)

Fast Collocation-Based Bayesian HMM Word Alignment. - Philip Schulz; Wilker Aziz (COLING, 2016)

Variational Inference and Deep Generative Models. - Wilker Aziz; Philip Schulz (ACL (5), 2018)

A Stochastic Decoder for Neural Machine Translation. - Philip Schulz; Wilker Aziz; Trevor Cohn (ACL (1), 2018)

Grounding learning of modifier dynamics: An application to color naming. - Xudong Han; Philip Schulz; Trevor Cohn (EMNLP/IJCNLP (1), 2019)

PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. - Kemal Kurniawan; Lea Frermann; Philip Schulz; Trevor Cohn (EACL, 2021)

PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. - Kemal Kurniawan; Lea Frermann; Philip Schulz; Trevor Cohn (SemEval@ACL/IJCNLP, 2021)

Causal Bias Quantification for Continuous Treatment. - Gianluca Detommaso; Michael Brückner; Philip Schulz; Victor Chernozhukov (CoRR, 2021)

Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. - Kemal Kurniawan; Lea Frermann; Philip Schulz; Trevor Cohn (NAACL-HLT, 2022)

Rejection via Learning Density Ratios. - Alexander Soen; Hisham Husain; Philip Schulz; Vu Nguyen (NeurIPS, 2024)

Personalised Outfit Recommendation via History-aware Transformers. - David Jung; Julien Monteil; Philip Schulz; Volodymyr Vaskovych (CoRR, 2024)

Personalised Outfit Recommendation via History-aware Transformers. - Myong Chol Jung; Julien Monteil; Philip Schulz; Volodymyr Vaskovych (WSDM, 2025)