Bernhard Nessler
6 papers · 2008–2021 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird
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Keyword Champion
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Deep Learning
(5)
Machine Learning
(5)
Optimization & Theory
(4)
Interdisciplinary
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Cognitive Science
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Science
(2)
Computer Vision
(1)
Keywords
generative adversarial network
(2)
nash equilibrium
(2)
hebbian learning
(2)
bayesian inference
(2)
image generation
(2)
synaptic plasticity
(2)
probabilistic modeling
(2)
spiking neural network
(2)
expectation maximization
(2)
bayesian decision making
(1)
winner-take-all
(1)
regularization parameter
(1)
winner-take-all circuit
(1)
homeostatic plasticity
(1)
spiking networks
(1)
distance metric
(1)
spiking neuron
(1)
inverse problem
(1)
mode collapse
(1)
two-time-scale update
(1)
Papers
The balancing principle for parameter choice in distance-regularized domain adaptation
NeurIPS 2021
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
ICLR 2018
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
NeurIPS 2017
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
NeurIPS 2012
STDP enables spiking neurons to detect hidden causes of their inputs
NeurIPS 2009
Hebbian Learning of Bayes Optimal Decisions
NeurIPS 2008