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ORCIDLorenz K. Müller
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2020 – today
- 2024
[c11]Lorenz K. Müller:
Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks? ICML 2024- 2023
- [j5]Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K. Müller:
Efficient Inference With Model Cascades. Trans. Mach. Learn. Res. 2023 (2023) - [c10]Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller:
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. NeurIPS 2023 - [i6]Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller:
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. CoRR abs/2310.03507 (2023) - 2021
- [c9]Lorenz K. Müller:
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement. CVPR Workshops 2021: 284-293 - [c8]Jonas Weiss, Pascal Stark, Lorenz K. Müller, Folkert Horst, Roger Dangel, Bert Jan Offrein:
Energy Efficiency of Photonic Convolution for Artificial Intelligence Workloads. SiPS 2021: 1-4 - [i5]Lorenz K. Müller:
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement. CoRR abs/2105.08470 (2021) - 2020
- [j4]Pascal Stark
, Lorenz K. Müller:
COLNA: A Python Package to Analyze Complex, Linear Networks. J. Open Source Softw. 5(46): 2073 (2020) - [j3]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek, Gordon Wetzstein:
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1642-1653 (2020)
2010 – 2019
- 2018
- [j2]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Jonathan Müller, Yulia Sandamirskaya, Piotr Dudek:
Real-Time Depth From Focus on a Programmable Focal Plane Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(3): 925-934 (2018) - [c7]Lorenz K. Müller, Julien N. P. Martel, Giacomo Indiveri:
Kernelized Synaptic Weight Matrices. ICML 2018: 3651-3660 - [c6]Melika Payvand, Lorenz K. Müller, Giacomo Indiveri:
Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures. ISCAS 2018: 1-5 - [i4]Melika Payvand, Manu V. Nair, Lorenz K. Müller, Giacomo Indiveri:
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation. CoRR abs/1807.05128 (2018) - 2017
- [c5]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek:
High-speed depth from focus on a programmable vision chip using a focus tunable lens. ISCAS 2017: 1-4 - [c4]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Jonathan Müller, Yulia Sandamirskaya, Piotr Dudek:
Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens. ISCAS 2017: 1 - [c3]Lorenz K. Müller, Manu V. Nair, Giacomo Indiveri:
Randomized unregulated step descent for limited precision synaptic elements. ISCAS 2017: 1-4 - [i3]Manu V. Nair, Lorenz K. Müller, Giacomo Indiveri:
A differential memristive synapse circuit for on-line learning in neuromorphic computing systems. CoRR abs/1709.05484 (2017) - 2016
- [c2]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek:
Parallel HDR tone mapping and auto-focus on a cellular processor array vision chip. ISCAS 2016: 1430-1433 - 2015
- [j1]Hesham Mostafa, Lorenz K. Müller, Giacomo Indiveri:
Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States. Neural Comput. 27(12): 2510-2547 (2015) - [i2]Lorenz K. Müller, Giacomo Indiveri:
Rounding Methods for Neural Networks with Low Resolution Synaptic Weights. CoRR abs/1504.05767 (2015) - [i1]Hesham Mostafa, Lorenz K. Müller, Giacomo Indiveri:
An event-based architecture for solving constraint satisfaction problems. CoRR abs/1505.01139 (2015) - 2013
- [c1]Hesham Mostafa, Lorenz K. Müller, Giacomo Indiveri:
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems. NIPS 2013: 719-727
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