Wulfram Gerstner
18 papers · 2006–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(3)
π¬
Deep Specialist
(11)
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
β
The Questioner
(2)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(121)
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(13)
Artificial Intelligence
(11)
Architectures
(11)
Core Methods
(11)
Interdisciplinary
(9)
Core AI
(9)
Science
(9)
Learning Types
(8)
Optimization & Theory
(8)
Reinforcement Learning
(4)
Cognitive Science
(4)
Methods
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Keywords
spiking neural network
(6)
neural network
(4)
reinforcement learning
(3)
meta-parameters
(2)
cognitive modeling
(2)
stress effects
(2)
generalized linear model
(2)
hebbian learning
(2)
recurrent network
(2)
learning rate
(2)
online learning
(1)
signal separation
(1)
independent component analysis
(1)
neural dynamics
(1)
state abstraction
(1)
point processes
(1)
spike prediction
(1)
variational inference
(1)
sample efficiency
(1)
genetic factors
(1)
Papers
Expand-and-Cluster: Parameter Recovery of Neural Networks
ICML 2024
Should Under-parameterized Student Networks Copy or Average Teacher Weights?
NeurIPS 2023
Trial matching: capturing variability with data-constrained spiking neural networks
NeurIPS 2023
Kernel Memory Networks: A Unifying Framework for Memory Modeling
NeurIPS 2022
Mesoscopic modeling of hidden spiking neurons
NeurIPS 2022
Fitting summary statistics of neural data with a differentiable spiking network simulator
NeurIPS 2021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
ICML 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
NeurIPS 2021
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
ICML 2018
Non-linear motor control by local learning in spiking neural networks
ICML 2018
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Mazeβlike Environments
NeurIPS 2015
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
NeurIPS 2011
Variational Learning for Recurrent Spiking Networks
NeurIPS 2011
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
NeurIPS 2010
Code-specific policy gradient rules for spiking neurons
NeurIPS 2009
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
NeurIPS 2008
An online Hebbian learning rule that performs Independent Component Analysis
NeurIPS 2007
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
NeurIPS 2006