Jakob H. Macke
31 papers · 2006–2025 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (51) π Conference Polyglot Β· Bronze π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(17)
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(5)
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(2)
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(11)
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(6)
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Research topics
Machine Learning
(28)
Optimization & Theory
(24)
Artificial Intelligence
(18)
Bayesian & Probabilistic Β· Artificial Intelligence
(16)
Interdisciplinary
(14)
Bayesian & Probabilistic Β· Machine Learning
(13)
Science
(12)
Deep Learning
(10)
Core Methods
(10)
Models
(7)
Cognitive Science
(6)
Healthcare & Medicine
(5)
Research
(5)
Architectures
(4)
Learning Types
(4)
Keywords
simulation-based inference
(12)
bayesian inference
(10)
neural population
(7)
variational inference
(6)
posterior distribution
(5)
amortized inference
(5)
generalized linear model
(4)
neural population activity
(3)
neural network
(3)
dynamical system
(3)
neural coding
(2)
state estimation
(2)
statistical modeling
(2)
posterior estimation
(2)
parameter inference
(2)
calcium imaging
(2)
laplace approximation
(2)
gaussian process
(2)
subspace identification
(2)
parameter estimation
(2)
Papers
Compositional simulation-based inference for time series
ICLR 2025
All-in-one simulation-based inference
ICML 2024
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
ICML 2024
Inferring stochastic low-rank recurrent neural networks from neural data
NeurIPS 2024
Latent Diffusion for Neural Spiking Data
NeurIPS 2024
Simultaneous identification of models and parameters of scientific simulators
ICML 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
NeurIPS 2024
Adversarial robustness of amortized Bayesian inference
ICML 2023
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
GATSBI: Generative Adversarial Training for Simulation-Based Inference
ICLR 2022
Group equivariant neural posterior estimation
ICLR 2022
Truncated proposals for scalable and hassle-free simulation-based inference
NeurIPS 2022
Variational methods for simulation-based inference
ICLR 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
Unlocking neural population non-stationarities using hierarchical dynamics models
NeurIPS 2015
A Bayesian model for identifying hierarchically organised states in neural population activity
NeurIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits
NeurIPS 2014
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NeurIPS 2013
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
NeurIPS 2012
Empirical models of spiking in neural populations
NeurIPS 2011
How biased are maximum entropy models?
NeurIPS 2011
Bayesian estimation of orientation preference maps
NeurIPS 2009
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
NeurIPS 2007
Receptive Fields without Spike-Triggering
NeurIPS 2007
Inducing Metric Violations in Human Similarity Judgements
NeurIPS 2006