Wolfgang Maass
15 papers · 2006–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(15)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(50)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(15)
Conferences
NIPS (11)
IJCAI (2)
ICLR (1)
NAACL (1)
Top co-authors
Research topics
Keywords
spiking neural network
(6)
spiking neuron
(4)
synaptic plasticity
(3)
neural network
(3)
reinforcement learning
(3)
information bottleneck
(2)
bayesian inference
(2)
probabilistic inference
(2)
hebbian learning
(2)
unsupervised learning
(2)
theoretical analysis
(2)
spike-timing-dependent plasticity
(2)
reward modulation
(2)
visual cortex
(1)
probabilistic modeling
(1)
neural coding
(1)
online learning
(1)
dimensionality reduction
(1)
principal component analysis
(1)
convergence analysis
(1)
Papers
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
IJCAI 2024
Newspaper Signaling for Crisis Prediction
NAACL 2024
REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms
IJCAI 2024
Long short-term memory and Learning-to-learn in networks of spiking neurons
NIPS 2018
Deep Rewiring: Training very sparse deep networks
ICLR 2018
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
NIPS 2018
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
NIPS 2015
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
NIPS 2009
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs
NIPS 2009
Hebbian Learning of Bayes Optimal Decisions
NIPS 2008
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
NIPS 2007
Temporal dynamics of information content carried by neurons in the primary visual cortex
NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
NIPS 2006