Michael Pfeiffer
4 papers · 2008–2021 · 2 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(2)
π
Academic Marathon
(13)
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Cross-Pollinator
(15)
π
Trend Setter
Conferences
NIPS (3)
ICLR (1)
Top co-authors
Research topics
Keywords
dimensionality reduction
(1)
reinforcement learning
(1)
probabilistic modeling
(1)
bayesian inference
(1)
probabilistic inference
(1)
hebbian learning
(1)
spike-timing-dependent plasticity
(1)
synaptic plasticity
(1)
bayesian decision making
(1)
expectation-maximization
(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)
irregular sampling
(1)
neural network
(1)
sparse update
(1)
bayesian decision
(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
NIPS 2016
STDP enables spiking neurons to detect hidden causes of their inputs
NIPS 2009
Hebbian Learning of Bayes Optimal Decisions
NIPS 2008