Möllenhoff, Thomas

18 publications

NeurIPS 2025 Compact Memory for Continual Logistic Regression Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan

TMLR 2025 Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Navish Kumar, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Aurelien Lucchi

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

NeurIPS 2025 Variational Learning Finds Flatter Solutions at the Edge of Stability Avrajit Ghosh, Bai Cong, Rio Yokota, Saiprasad Ravishankar, Rongrong Wang, Molei Tao, Mohammad Emtiyaz Khan, Thomas Möllenhoff

ICLR 2024 Conformal Prediction via Regression-as-Classification Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye

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 Conformal Prediction via Regression-as-Classification Etash Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye

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

ICLR 2023 SAM as an Optimal Relaxation of Bayes Thomas Möllenhoff, Mohammad Emtiyaz Khan

NeurIPS 2023 The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan

AISTATS 2020 Optimization of Graph Total Variation via Active-Set-Based Combinatorial Reconditioning Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers

AISTATS 2018 Combinatorial Preconditioners for Proximal Algorithms on Graphs Thomas Möllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers

ICLR 2018 Proximal Backpropagation Thomas Frerix, Thomas Möllenhoff, Michael Moeller, Daniel Cremers

ICCV 2017 Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems Thomas Mollenhoff, Daniel Cremers

ECCV 2016 Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers

CVPR 2016 Sublabel-Accurate Relaxation of Nonconvex Energies Thomas Mollenhoff, Emanuel Laude, Michael Moeller, Jan Lellmann, Daniel Cremers