default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLukas Mauch
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[i17]Somesh Mehra, Javier Alonso García, Lukas Mauch:
On multi-token prediction for efficient LLM inference. CoRR abs/2502.09419 (2025)- 2024
- [b1]Lukas Mauch:
Least-squares based layerwise pruning of Deep Neural Networks. University of Stuttgart, Germany, 2024 - [c17]Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil Aïssa-El-Bey, Ghouthi Boukli Hacene, Lukas Mauch:
Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework. AutoML 2024: 5/1-33 - [c16]Bac Nguyen
, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville:
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. ECCV (69) 2024: 138-154 - [c15]Yihang Chen, Lukas Mauch:
Order-Preserving GFlowNets. ICLR 2024 - [i16]Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux:
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR abs/2401.11311 (2024) - [i15]Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon:
LLM meets Vision-Language Models for Zero-Shot One-Class Classification. CoRR abs/2404.00675 (2024) - [i14]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville:
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. CoRR abs/2407.03036 (2024) - [i13]Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei:
Schemato - An LLM for Netlist-to-Schematic Conversion. CoRR abs/2411.13899 (2024) - 2023
- [c14]Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO 2023: 1260-1264 - [i12]Bac Nguyen Cong, Lukas Mauch:
Efficient Training of Deep Equilibrium Models. CoRR abs/2304.11663 (2023) - [i11]Pau Mulet Arabi, Alec Flowers, Lukas Mauch, Fabien Cardinaux:
DBsurf: A Discrepancy Based Method for Discrete Stochastic Gradient Estimation. CoRR abs/2309.03974 (2023) - [i10]Yihang Chen, Lukas Mauch:
Order-Preserving GFlowNets. CoRR abs/2310.00386 (2023) - [i9]Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene:
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning. CoRR abs/2311.14544 (2023) - 2022
- [i8]Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR abs/2212.06461 (2022) - 2021
- [i7]Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux:
DNN Quantization with Attention. CoRR abs/2103.13322 (2021) - 2020
- [j3]Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. IEEE J. Sel. Top. Signal Process. 14(4): 860-870 (2020) - [c13]Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Mixed Precision DNNs: All you need is a good parametrization. ICLR 2020 - [i6]Lukas Mauch, Stephen Tiedemann, Javier Alonso García, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp:
Efficient Sampling for Predictor-Based Neural Architecture Search. CoRR abs/2011.12043 (2020)
2010 – 2019
- 2019
- [c12]Alexander Bartler, Felix Wiewel, Lukas Mauch, Bin Yang:
Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling. EUSIPCO 2019: 1-5 - [i5]Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Differentiable Quantization of Deep Neural Networks. CoRR abs/1905.11452 (2019) - [i4]Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. CoRR abs/1911.04951 (2019) - 2018
- [j2]Chunlai Wang, Lukas Mauch, Mehul Manoj Saxena, Bin Yang:
On the contextual aspects of using deep convolutional neural network for semantic image segmentation. J. Electronic Imaging 27(05): 051223 (2018) - [j1]Lukas Mauch, Chunlai Wang, Bin Yang:
Subset selection for visualization of relevant image fractions for deep learning based semantic image segmentation. J. Frankl. Inst. 355(4): 1931-1944 (2018) - [c11]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:
Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. APSIPA 2018: 838-847 - [c10]Alexander Bartler, Lukas Mauch, Bin Yang, Michael Reuter, Liviu Stoicescu:
Automated Detection of Solar Cell Defects with Deep Learning. EUSIPCO 2018: 2035-2039 - [c9]Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang:
Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging. ICASSP 2018: 995-999 - [c8]Chunlai Wang, Jiawei Yu, Lukas Mauch, Bin Yang:
Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks. ICIP 2018: 2232-2236 - [c7]Lukas Mauch, Bin Yang:
Least-Squares Based Layerwise Pruning Of Convolutional Neural Networks. SSP 2018: 60-64 - [i3]Karim Said Barsim, Lukas Mauch, Bin Yang:
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements. CoRR abs/1802.06963 (2018) - [i2]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:
A Machine-learning framework for automatic reference-free quality assessment in MRI. CoRR abs/1806.09602 (2018) - [i1]Lukas Mauch, Bin Yang:
Deep Neural Network inference with reduced word length. CoRR abs/1810.09854 (2018) - 2017
- [c6]Lukas Mauch, Bin Yang:
Selecting optimal layer reduction factors for model reduction of deep neural networks. ICASSP 2017: 2212-2216 - [c5]Lukas Mauch, Bin Yang:
A novel layerwise pruning method for model reduction of fully connected deep neural networks. ICASSP 2017: 2382-2386 - 2016
- [c4]Lukas Mauch, Bin Yang:
A novel DNN-HMM-based approach for extracting single loads from aggregate power signals. ICASSP 2016: 2384-2388 - [c3]Chunlai Wang, Lukas Mauch, Ze Guo, Bin Yang:
On semantic image segmentation using deep convolutional neural network with shortcuts and easy class extension. IPTA 2016: 1-6 - 2015
- [c2]Lukas Mauch, Bin Yang:
A new approach for supervised power disaggregation by using a deep recurrent LSTM network. GlobalSIP 2015: 63-67 - 2012
- [c1]Yixuan Wang, Lukas Mauch, Joachim Speidel:
Bi-Directional DFEs for Plastic Optical Fiber Based In-Vehicle Infotainment System at 2-3Gbit/s. VTC Fall 2012: 1-5
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-14 17:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
