Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems. - Hesham Mostafa; Lorenz K. Müller; Giacomo Indiveri (NIPS, 2013)

An event-based architecture for solving constraint satisfaction problems. - Hesham Mostafa; Lorenz K. Müller; Giacomo Indiveri (CoRR, 2015)

Rounding Methods for Neural Networks with Low Resolution Synaptic Weights. - Lorenz K. Müller; Giacomo Indiveri (CoRR, 2015)

Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States. - Hesham Mostafa; Lorenz K. Müller; Giacomo Indiveri (Neural Comput., 2015)

Parallel HDR tone mapping and auto-focus on a cellular processor array vision chip. - Julien N. P. Martel; Lorenz K. Müller; Stephen J. Carey; Piotr Dudek (ISCAS, 2016)

High-speed depth from focus on a programmable vision chip using a focus tunable lens. - Julien N. P. Martel; Lorenz K. Müller; Stephen J. Carey; Piotr Dudek (ISCAS, 2017)

Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens. - Julien N. P. Martel; Lorenz K. Müller; Stephen J. Carey; Jonathan Müller; Yulia Sandamirskaya; Piotr Dudek (ISCAS, 2017)

Randomized unregulated step descent for limited precision synaptic elements. - Lorenz K. Müller; Manu V. Nair; Giacomo Indiveri (ISCAS, 2017)

A differential memristive synapse circuit for on-line learning in neuromorphic computing systems. - Manu V. Nair; Lorenz K. Müller; Giacomo Indiveri (CoRR, 2017)

Kernelized Synaptic Weight Matrices. - Lorenz K. Müller; Julien N. P. Martel; Giacomo Indiveri (ICML, 2018)

Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures. - Melika Payvand; Lorenz K. Müller; Giacomo Indiveri (ISCAS, 2018)

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation. - Melika Payvand; Manu V. Nair; Lorenz K. Müller; Giacomo Indiveri (CoRR, 2018)

Real-Time Depth From Focus on a Programmable Focal Plane Processor. - Julien N. P. Martel; Lorenz K. Müller; Stephen J. Carey; Jonathan Müller; Yulia Sandamirskaya; Piotr Dudek (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

COLNA: A Python Package to Analyze Complex, Linear Networks. - Pascal Stark; Lorenz K. Müller (J. Open Source Softw., 2020)

Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors. - Julien N. P. Martel; Lorenz K. Müller; Stephen J. Carey; Piotr Dudek; Gordon Wetzstein (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement. - Lorenz K. Müller (CVPR Workshops, 2021)

Energy Efficiency of Photonic Convolution for Artificial Intelligence Workloads. - Jonas Weiss; Pascal Stark; Lorenz K. Müller; Folkert Horst; Roger Dangel; Bert Jan Offrein (SiPS, 2021)

RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. - Antoine Scardigli; Lukas Cavigelli; Lorenz K. Müller (NeurIPS, 2023)

Efficient Inference With Model Cascades. - Luzian Lebovitz; Lukas Cavigelli; Michele Magno; Lorenz K. Müller (Trans. Mach. Learn. Res., 2023)

Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks? - Lorenz K. Müller (ICML, 2024)

SSSD: Simply-Scalable Speculative Decoding. - Michele Marzollo; Jiawei Zhuang; Niklas Roemer; Lorenz K. Müller; Lukas Cavigelli (CoRR, 2024)