activity
20222026
most citedBridging Voting and Deliberation with Algorithms: Field Insights from vTaiwan and Kultur Komitee

5 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

IXPLORE: Bounded Ideal Point Estimation with Grid-Based Uncertainty Quantification

Fynn Bachmann

Ideal point estimation is widely used to analyze and visualize political data. However, selecting the corresponding spatial model involves various trade-offs: while model-based app…

cs.LG2025★ 3 cited

Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions

Fynn Bachmann, Daan van der Weijden, Lucien Heitz +2

Adaptive questionnaires dynamically select the next question for a survey participant based on their previous answers. Due to digitalisation, they have become a viable alternative…

cs.HC2025★ 5 cited

Bridging Voting and Deliberation with Algorithms: Field Insights from vTaiwan and Kultur Komitee

Joshua C. Yang, Fynn Bachmann

Democratic processes increasingly aim to integrate large-scale voting with face-to-face deliberation, addressing the challenge of reconciling individual preferences with collective…

cs.LG2024★ 5 cited

Fast and Adaptive Questionnaires for Voting Advice Applications

Fynn Bachmann, Cristina Sarasua, Abraham Bernstein

The effectiveness of Voting Advice Applications (VAA) is often compromised by the length of their questionnaires. To address user fatigue and incomplete responses, some application…

cs.LG2022★ 2 cited

Wasserstein t-SNE

Fynn Bachmann, Philipp Hennig, Dmitry Kobak

Scientific datasets often have hierarchical structure: for example, in surveys, individual participants (samples) might be grouped at a higher level (units) such as their geographi…