Wolfgang Maass

15 papers · 2006–2024 · 4 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (7) 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (3) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (50) 📈 Trend Setter 🚀 Conference Pioneer 💎 Century Club (15)

Conferences

NIPS (11) IJCAI (2) ICLR (1) NAACL (1)

Top co-authors

Robert Legenstein (3) Robert A. Legenstein (3) Bernhard Nessler (2) Guillaume Bellec (2) David Kappel (2) Michael Pfeiffer (2) Lotfy Abdel Khaliq (2) Sabine Janzen (2) Stefan Klampfl (2) Prajvi Saxena (1)

Research topics

Reinforcement Learning (2)

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