Celestine Mendler-Dünner
Associate Professor
Studies machine learning in social contexts, including performative prediction, the dynamics between algorithms and the people they affect, and evaluation of AI systems.
Celestine Mendler-Dünner's lab at ETH Zurich works on interpretability, evaluation & safety of LMs. 14 papers since 2023, 9 at top venues, mostly NeurIPS and ICML. 1 PhD student.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 64%
- PhD students
- 1
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 2
- 5 papers2024 · T1 4
- 2 papers2023 · T1 2
T1 venuesOtherVenues: NeurIPS, ICML, WWW
Research focuspaper titles that use each topic's words
- Interpretability, evaluation & safety of LMs0 papers
- dynamics0 papers
- d-infk0 papers
- people0 papers
- evaluation0 papers
Paper list
From the lab homepage.
20263 papers
- to be presented at NeurIPSPartition, Prompt, Aggregate: Statistical Self-Consistency in Language Models (opens in a new tab)
- to be presented at NeurIPSReaching a consensus in predictive loops (opens in a new tab)
- WWW (T1)Stochastic wage suppression on gig platforms and how to organize against it (opens in a new tab)
20254 papers
- ACM Conference on Human Factors in Computing SystemsDecline Now: A combinatorial model for algorithm collective action (opens in a new tab)
- NeurIPS (T1)Look-Ahead Reasoning on Learning Platforms (opens in a new tab)
- Statistical SciencePerformative Prediction: Past and Future (opens in a new tab)
- NeurIPS (T1)Performative validity of recourse explanations (opens in a new tab)
20245 papers
- EWAFAlgorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists (opens in a new tab)
- NeurIPS (T1)An engine not a camera: Measuring performative power of online search (opens in a new tab)
- ICML (T1)Causal Inference out of Control: Estimating Performativity without Tretament Randomization (opens in a new tab)
- NeurIPS (T1)Evaluating language models as risk scores (opens in a new tab)
- NeurIPS (T1)Questioning the Survey Responses of Large Language Models (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ETH ZurichRolling
Not announced yet
Computer Science Doctorate (D-INFK)
- Round
- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.