Publications

Pavel Czempin, Rachel Freedman, Ellen Novoseller, Vernon Lawhern, Cameron Allen, Erdem Bıyık (2025). Improving Reward Learning by Estimating Annotator Expertise. In RSS 2025 Workshop CRLH.

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Anothy Liang, Pavel Czempin, Matthew Hong, Yutai Zhou, Erdem Bıyık, Stephen Tu (2025). Clam: Continuous latent action models for robot learning from unlabeled demonstrations. In arXiv.

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Anthony Liang, Pavel Czempin, Yutai Zhou, Stephen Tu, Erdem Bıyık (2024). In-Context Generalization to New Tasks From Unlabeled Observation Data. In 1st ICL Workshop at ICML 2024.

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Nicolas Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger (2022). Does Audio Deepfake Detection Generalize?. In Proc. Interspeech 2022.

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Pavel Czempin, Adam Gleave (2022). Reducing Exploitability with Population Based Training. In AdvML Frontiers at ICML.

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Nicolas Müller, Franziska Dieckmann, Pavel Czempin, Roman Canals, Konstantin Böttinger, Jennifer Williams (2021). Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?. In ASVspoof2021.

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