Angéline N. Pouget

Curious researcher. Lifelong learner. Avid reader. Sports enthusiast.

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Welcome! I’m Angéline, a research engineer at Google DeepMind in Zurich, very curious about the world around me and deeply passionate about diving headfirst into fascinating topics. Currently, my focus is on data-centric AI research, particularly on improving multimodal understanding in large language models.

Previously, I was a Master’s student at ETH Zürich and a visiting graduate student at the University of Toronto, advised by Nicolas Papernot. I’ve also had the opportunity to intern across various industries including tech, finance and consulting, gaining diverse insights along the way.

Outside of my professional pursuits, I’m a dedicated hybrid athlete, aspiring triathlete and BQ marathoner, passionate about pushing my limits through swimming, cycling, running and strength training.

news

May 29, 2025 My Master’s thesis paper on suitability filters for classifiers has been accepted as a spotlight poster to ICML 2025 (code here). I’m very thankful for the great collaboration with Mohammad Yaghini, Stephan Rabanser and Nicolas Papernot.
Jan 06, 2025 I just re-joined Google DeepMind in Zürich to work on multimodal understanding in large language models.
Sep 25, 2024 Our paper on cultural diversity in contrastive vision-language models has been accepted to NeurIPS 2024.
Jul 15, 2024 Our paper on cultural diversity in contrastive vision-language models has been accepted with an oral presentation at the Data-centric Machine Learning Research workshop at ICML 2024. Looking forward to giving a brief talk, participating in a panel, and interesting poster session discussions.
May 24, 2024 Very excited to share our paper on cultural diversity in contrastive vision-language models that I worked on while at Google DeepMind with Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Steiner, Xiaohua Zhai and Ibrahim Alabdulmohsin.

selected publications

  1. ICML 2025
    Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
    Angéline Pouget, Mohammad Yaghini, Stephan Rabanser, and Nicolas Papernot
    In Proceedings of the 42nd International Conference on Machine Learning , 2025
  2. NeurIPS 2024
    No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
    Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Steiner, and 2 more authors
    Advances in Neural Information Processing Systems, 2024
  3. NAI Journal
    Factorizers for Distributed Sparse Block Codes
    Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, and 4 more authors
    Neurosymbolic Artificial Intelligence Journal, 2024