Kuhn, Daniel

9 publications

AISTATS 2025 Global Group Fairness in Federated Learning via Function Tracking Yves Rychener, Daniel Kuhn, Yifan Hu

ICLRW 2025 Ligand-Conditioned Binding Site Prediction Using Contrastive Geometric Learning Lisa Schneckenreiter, Sohvi Luukkonen, Lukas Friedrich, Daniel Kuhn, Günter Klambauer

L4DC 2024 A Large Deviations Perspective on Policy Gradient Algorithms Wouter Jongeneel, Daniel Kuhn, Mengmeng Li

ICLRW 2024 Autoregressive Activity Prediction for Low-Data Drug Discovery Johannes Schimunek, Lukas Friedrich, Daniel Kuhn, Günter Klambauer

ICLR 2023 Context-Enriched Molecule Representations Improve Few-Shot Drug Discovery Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer

ICML 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective Yves Rychener, Daniel Kuhn, Tobias Sutter

ICML 2021 Distributionally Robust Optimization with Markovian Data Mengmeng Li, Tobias Sutter, Daniel Kuhn

ICML 2021 Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts Bahar Taskesen, Man-Chung Yue, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen

JMLR 2019 Regularization via Mass Transportation Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani