Lukas Mauch

Orcid: 0000-0001-9212-899X

According to our database1, Lukas Mauch authored at least 31 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning.
CoRR, 2024

LLM meets Vision-Language Models for Zero-Shot One-Class Classification.
CoRR, 2024

A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models.
CoRR, 2024

Order-Preserving GFlowNets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning.
CoRR, 2023

DBsurf: A Discrepancy Based Method for Discrete Stochastic Gradient Estimation.
CoRR, 2023

Efficient Training of Deep Equilibrium Models.
CoRR, 2023

A Statistical Model for Predicting Generalization in Few-Shot Classification.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
A Statistical Model for Predicting Generalization in Few-Shot Classification.
CoRR, 2022

2021
DNN Quantization with Attention.
CoRR, 2021

2020
Iteratively Training Look-Up Tables for Network Quantization.
IEEE J. Sel. Top. Signal Process., 2020

Efficient Sampling for Predictor-Based Neural Architecture Search.
CoRR, 2020

Mixed Precision DNNs: All you need is a good parametrization.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Differentiable Quantization of Deep Neural Networks.
CoRR, 2019

Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Subset selection for visualization of relevant image fractions for deep learning based semantic image segmentation.
J. Frankl. Inst., 2018

On the contextual aspects of using deep convolutional neural network for semantic image segmentation.
J. Electronic Imaging, 2018

Deep Neural Network inference with reduced word length.
CoRR, 2018

A Machine-learning framework for automatic reference-free quality assessment in MRI.
CoRR, 2018

Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements.
CoRR, 2018

Least-Squares Based Layerwise Pruning Of Convolutional Neural Networks.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Automated Detection of Solar Cell Defects with Deep Learning.
Proceedings of the 26th European Signal Processing Conference, 2018

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
A novel layerwise pruning method for model reduction of fully connected deep neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Selecting optimal layer reduction factors for model reduction of deep neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
On semantic image segmentation using deep convolutional neural network with shortcuts and easy class extension.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

A novel DNN-HMM-based approach for extracting single loads from aggregate power signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
A new approach for supervised power disaggregation by using a deep recurrent LSTM network.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2012
Bi-Directional DFEs for Plastic Optical Fiber Based In-Vehicle Infotainment System at 2-3Gbit/s.
Proceedings of the 76th IEEE Vehicular Technology Conference, 2012


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