Lukas Mauch - RankMe

45 papers A* 2B 1Misc 4Journal 26Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026	J	`jnl`	Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026	J	`jnl`	Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2025	J	`jnl`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. Trans. Mach. Learn. Res. Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2025	J	`jnl`	GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters. CoRR Anand Choudhary, Yasser Sulaiman, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Antoine Bosselut
2025	J	`jnl`	Global-Order GFlowNets. CoRR Lluís Pastor Pérez, Javier Alonso García, Lukas Mauch
2025	J	`jnl`	On multi-token prediction for efficient LLM inference. CoRR Somesh Mehra, Javier Alonso García, Lukas Mauch
2025	—	`conf`	Schemato - An LLM for Netlist-to-Schematic Conversion. MLCAD Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2024	J	`jnl`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2024	—	`conf`	Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework. AutoML Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil Aïssa-El-Bey, Ghouthi Boukli Hacene, Lukas Mauch
2024	J	`jnl`	LLM meets Vision-Language Models for Zero-Shot One-Class Classification. CoRR Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon
2024	—	`—`	Least-squares based layerwise pruning of Deep Neural Networks. Lukas Mauch
2024	A*	`conf`	Order-Preserving GFlowNets. ICLR Yihang Chen, Lukas Mauch
2024	—	`conf`	SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. ECCV (69) Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville
2024	J	`jnl`	SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. CoRR Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville
2024	J	`jnl`	Schemato - An LLM for Netlist-to-Schematic Conversion. CoRR Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2023	—	`conf`	A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2023	J	`jnl`	DBsurf: A Discrepancy Based Method for Discrete Stochastic Gradient Estimation. CoRR Pau Mulet Arabi, Alec Flowers, Lukas Mauch, Fabien Cardinaux
2023	J	`jnl`	Efficient Training of Deep Equilibrium Models. CoRR Bac Nguyen Cong, Lukas Mauch
2023	J	`jnl`	Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning. CoRR Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2023	J	`jnl`	Order-Preserving GFlowNets. CoRR Yihang Chen, Lukas Mauch
2022	J	`jnl`	A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2021	J	`jnl`	DNN Quantization with Attention. CoRR Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux
2020	J	`jnl`	Efficient Sampling for Predictor-Based Neural Architecture Search. CoRR Lukas Mauch, Stephen Tiedemann, Javier Alonso García, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp
2020	J	`jnl`	Iteratively Training Look-Up Tables for Network Quantization. IEEE J. Sel. Top. Signal Process. Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2020	A*	`conf`	Mixed Precision DNNs: All you need is a good parametrization. ICLR Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2019	J	`jnl`	Differentiable Quantization of Deep Neural Networks. CoRR Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2019	J	`jnl`	Iteratively Training Look-Up Tables for Network Quantization. CoRR Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2019	—	`conf`	Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling. EUSIPCO Alexander Bartler, Felix Wiewel, Lukas Mauch, Bin Yang
2018	J	`jnl`	A Machine-learning framework for automatic reference-free quality assessment in MRI. CoRR Thomas Küstner, Sergios Gatidis, Annika Liebgott, Martin Schwartz, Lukas Mauch, Petros Martirosian, Holger Schmidt, Nina F. Schwenzer, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick
2018	—	`conf`	Automated Detection of Solar Cell Defects with Deep Learning. EUSIPCO Alexander Bartler, Lukas Mauch, Bin Yang, Michael Reuter, Liviu Stoicescu
2018	Misc	`conf`	Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging. ICASSP Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang
2018	B	`conf`	Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks. ICIP Chunlai Wang, Jiawei Yu, Lukas Mauch, Bin Yang
2018	J	`jnl`	Deep Neural Network inference with reduced word length. CoRR Lukas Mauch, Bin Yang
2018	—	`conf`	Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. APSIPA Sebastian Milde, Annika Liebgott, Ziwei Wu, Wenyi Feng, Jiahuan Yang, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang, Thomas Kustner
2018	—	`conf`	Least-Squares Based Layerwise Pruning Of Convolutional Neural Networks. SSP Lukas Mauch, Bin Yang
2018	J	`jnl`	Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements. CoRR Karim Said Barsim, Lukas Mauch, Bin Yang
2018	J	`jnl`	On the contextual aspects of using deep convolutional neural network for semantic image segmentation. J. Electronic Imaging Chunlai Wang, Lukas Mauch, Mehul Manoj Saxena, Bin Yang
2018	J	`jnl`	Subset selection for visualization of relevant image fractions for deep learning based semantic image segmentation. J. Frankl. Inst. Lukas Mauch, Chunlai Wang, Bin Yang
2017	Misc	`conf`	A novel layerwise pruning method for model reduction of fully connected deep neural networks. ICASSP Lukas Mauch, Bin Yang
2017	Misc	`conf`	Selecting optimal layer reduction factors for model reduction of deep neural networks. ICASSP Lukas Mauch, Bin Yang
2016	Misc	`conf`	A novel DNN-HMM-based approach for extracting single loads from aggregate power signals. ICASSP Lukas Mauch, Bin Yang
2016	—	`conf`	On semantic image segmentation using deep convolutional neural network with shortcuts and easy class extension. IPTA Chunlai Wang, Lukas Mauch, Ze Guo, Bin Yang
2015	—	`conf`	A new approach for supervised power disaggregation by using a deep recurrent LSTM network. GlobalSIP Lukas Mauch, Bin Yang
2012	—	`conf`	Bi-Directional DFEs for Plastic Optical Fiber Based In-Vehicle Infotainment System at 2-3Gbit/s. VTC Fall Yixuan Wang, Lukas Mauch, Joachim Speidel