Mauch, Lukas

9 publications

TMLR 2025 A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi BOUKLI Hacene, Fabien Cardinaux

ICLRW 2025 Global-Order GFlowNets Lluís Pastor-Pérez, Javier Alonso Garcia, Lukas Mauch

ICLRW 2025 On Multi-Token Prediction for Efficient LLM Inference Somesh Mehra, Javier Alonso Garcia, Lukas Mauch

AutoML 2024 Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil Aissa El Bey, Ghouthi Boukli Hacene, Lukas Mauch

ICLR 2024 Order-Preserving GFlowNets Yihang Chen, Lukas Mauch

ECCV 2024 SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron Courville

NeurIPSW 2023 Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning Yassir Bendou, Bastien Pasdeloup, Giulia Lioi, Vincent Gripon, Fabien Cardinaux, Ghouthi BOUKLI Hacene, Lukas Mauch

ICLRW 2022 COBRA: Enhancing DNN Latency Prediction with Language Models Trained on Source Code Robin Zbinden, Lukas Mauch, Fabien Cardinaux

ICLR 2020 Mixed Precision DNNs: All You Need Is a Good Parametrization Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso Garcia, Stephen Tiedemann, Thomas Kemp, Akira Nakamura