Michael Pfeiffer
4 papers · 2008–2021 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (23)
🧭
Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Interdisciplinary
(2)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Cognitive Science
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Reinforcement Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Science
(1)
Keywords
hebbian learning
(2)
reinforcement learning
(1)
probabilistic modeling
(1)
bayesian inference
(1)
probabilistic inference
(1)
expectation maximization
(1)
mutual information
(1)
spike-timing-dependent plasticity
(1)
synaptic plasticity
(1)
multi-class classification
(1)
bayesian decision making
(1)
winner-take-all
(1)
winner-take-all circuit
(1)
spiking neuron
(1)
spiking neural network
(1)
long short-term memory
(1)
recurrent neural network
(1)
uncertainty calibration
(1)
irregular sampling
(1)
confidence estimation
(1)
Papers
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
ICLR 2021
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
NeurIPS 2016
STDP enables spiking neurons to detect hidden causes of their inputs
NeurIPS 2009
Hebbian Learning of Bayes Optimal Decisions
NeurIPS 2008