Jakob H Macke
11 papers · 2013–2024 · 1 conference · across top CS/AI conferences
Achievements
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Academic Marathon
(11)
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(11)
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(11)
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Keyword Collector
(53)
Conferences
NIPS (11)
Top co-authors
Keywords
simulation-based inference
(5)
bayesian inference
(4)
variational inference
(3)
dynamical system
(2)
neural population
(2)
calcium imaging
(2)
amortized inference
(2)
neural network
(2)
hebbian learning
(1)
subspace identification
(1)
principal component analysis
(1)
sequential monte carlo
(1)
representation learning
(1)
state estimation
(1)
posterior distribution
(1)
stochastic process
(1)
flow matching
(1)
intrinsic dimensionality
(1)
posterior estimation
(1)
likelihood-free inference
(1)
Papers
Inferring stochastic low-rank recurrent neural networks from neural data
NIPS 2024
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
NIPS 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
NIPS 2023
Flow Matching for Scalable Simulation-Based Inference
NIPS 2023
Efficient identification of informative features in simulation-based inference
NIPS 2022
Truncated proposals for scalable and hassle-free simulation-based inference
NIPS 2022
Intrinsic dimension of data representations in deep neural networks
NIPS 2019
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
NIPS 2017
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
NIPS 2017
Flexible statistical inference for mechanistic models of neural dynamics
NIPS 2017
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NIPS 2013