Grégoire Montavon

BIFOLD -Berlin Institute for the Foundations of Learning and Data, Charité -Universitätsmedizin Berlin

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Publication activitypapers/week, last 8 weeks

Research focus

Training Efficiency & Optimization (1)Constitutional AI & AI Ethics (1)Interpretability & Mechanistic Interp (1)

Frequent co-authors

Philip Naumann (1)Jacob Kauffmann (1)Klaus-Robert Müller (1)Georgii Mikriukov (1)

Papers (2)

May 6, 2026

BIFOLD -Berlin Institute for the Foundations2w ago·also Charité -Universitätsmedizin Berlin, Korea U, Max Planck, TU Berlin

Reliable Modeling of Distribution Shifts via Displacement-Reshaped Optimal Transport

Observed sample displacements can be integrated into optimal transport to carve expressways through the input space, leading to more reliable modeling of distribution shifts.

Philip Naumann, Jacob Kauffmann, Klaus-Robert Müller +1

Training Efficiency & Optimization

Mar 31, 2026

Georgii Mikriukov +2Mar 31, 2026·also BIFOLD -Berlin Institute for the Foundations, Charité -Universitätsmedizin Berlin

Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence

Don't waste compute on unreliable explanations: epistemic uncertainty can predict when XAI methods will fail, allowing you to gate their use.

Georgii Mikriukov, Grégoire Montavon, Marina M. -C. Höhne

Constitutional AI & AI Ethics Interpretability & Mechanistic Interp

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Grégoire Montavon

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (2)