Bernhard Nessler
Publications by Year
Research Areas
Neural dynamics and brain function, Advanced Memory and Neural Computing, Neural Networks and Applications, Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning
Most-Cited Works
- → GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium(2017)4,490 cited
- → Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons(2011)398 cited
- GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium(2017)
- → Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity(2013)294 cited
- Speeding up Semantic Segmentation for Autonomous Driving(2016)
- → STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning(2014)117 cited
- STDP enables spiking neurons to detect hidden causes of their inputs(2009)
- → Where’s the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network(2015)64 cited
- → Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation(2019)47 cited