Jakob H Macke
11 papers · 2013–2024 · 1 venue · across top CS/AI venues
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Machine Learning
(9)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Core Methods
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Deep Learning
(3)
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(3)
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(2)
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(2)
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(1)
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
NeurIPS 2024
Flow Matching for Scalable Simulation-Based Inference
NeurIPS 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
NeurIPS 2023
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
NeurIPS 2023
Efficient identification of informative features in simulation-based inference
NeurIPS 2022
Truncated proposals for scalable and hassle-free simulation-based inference
NeurIPS 2022
Intrinsic dimension of data representations in deep neural networks
NeurIPS 2019
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
NeurIPS 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
NeurIPS 2017
Flexible statistical inference for mechanistic models of neural dynamics
NeurIPS 2017
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NeurIPS 2013