Daheim, Nico

5 publications

ICLR 2025 Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim, Clara Meister, Thomas Möllenhoff, Iryna Gurevych

ICLR 2024 Model Merging by Uncertainty-Based Gradient Matching Nico Daheim, Thomas Möllenhoff, Edoardo Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan

ICML 2024 Variational Learning Is Effective for Large Deep Networks Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Bazan Clement Emile Marcel Raoul, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

NeurIPSW 2024 Variational Low-Rank Adaptation Using IVON Bai Cong, Nico Daheim, Yuesong Shen, Daniel Cremers, Rio Yokota, Mohammad Emtiyaz Khan, Thomas Möllenhoff

NeurIPSW 2023 Model Merging by Gradient Matching Nico Daheim, Thomas Möllenhoff, Edoardo Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan