Wolfgang Maass
15 papers · 2006–2024 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
π¬
Deep Specialist
(10)
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Conference Pioneer
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(110)
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Interdisciplinary
(11)
Learning Types Β· Machine Learning
(10)
Science
(10)
Deep Learning
(9)
Optimization & Theory
(9)
Artificial Intelligence
(7)
Cognitive Science
(7)
Architectures
(6)
Core Methods
(6)
Core AI
(5)
Mathematics & Optimization
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Reinforcement Learning
(2)
Keywords
spiking neural network
(6)
spiking neuron
(4)
synaptic plasticity
(3)
neural network
(3)
hebbian learning
(3)
reinforcement learning
(3)
bayesian inference
(2)
information bottleneck
(2)
probabilistic inference
(2)
spike-timing-dependent plasticity
(2)
unsupervised learning
(2)
theoretical analysis
(2)
reward modulation
(2)
principal component analysis
(1)
feature extraction
(1)
independent component analysis
(1)
representation learning
(1)
neural decoding
(1)
blind source separation
(1)
probabilistic modeling
(1)
Papers
Newspaper Signaling for Crisis Prediction
NAACL 2024
REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms
IJCAI 2024
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
IJCAI 2024
Deep Rewiring: Training very sparse deep networks
ICLR 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons
NeurIPS 2018
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
NeurIPS 2018
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
NeurIPS 2015
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
NeurIPS 2009
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
NeurIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs
NeurIPS 2009
Hebbian Learning of Bayes Optimal Decisions
NeurIPS 2008
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
NeurIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
NeurIPS 2007
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
NeurIPS 2006
Temporal dynamics of information content carried by neurons in the primary visual cortex
NeurIPS 2006