Jakob H. Macke
31 papers · 2006–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (15) π Interdisciplinary Bridge π Renaissance Researcher (7) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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Hot Topic Early Bird
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(15)
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Keyword Trendsetter Combo
(4)
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Conference Loyalist
(23)
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Dynamic Duo
(11)
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Keyword Champion
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Century Club
(31)
ποΈ
Keyword Collector
(67)
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Prolific Year
(6)
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Unstoppable
(5)
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The Questioner
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Conference Pioneer
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Trend Setter
Conferences
NIPS (23)
ICLR (4)
ICML (4)
Top co-authors
Research topics
Keywords
bayesian inference
(8)
neural population
(7)
simulation-based inference
(6)
generalized linear model
(4)
variational inference
(4)
posterior distribution
(3)
dynamical system
(3)
amortized inference
(2)
statistical modeling
(2)
receptive field
(2)
state estimation
(2)
calcium imaging
(2)
neural coding
(2)
neural population dynamics
(2)
parameter inference
(2)
gaussian process
(2)
dimensionality reduction
(2)
visual cortex
(2)
statistical model
(2)
likelihood-free inference
(2)
Papers
Compositional simulation-based inference for time series
ICLR 2025
Inferring stochastic low-rank recurrent neural networks from neural data
NIPS 2024
All-in-one simulation-based inference
ICML 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
NIPS 2024
Simultaneous identification of models and parameters of scientific simulators
ICML 2024
Latent Diffusion for Neural Spiking Data
NIPS 2024
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
ICML 2024
Flow Matching for Scalable Simulation-Based Inference
NIPS 2023
Adversarial robustness of amortized Bayesian inference
ICML 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
NIPS 2023
Meta-learning families of plasticity rules in recurrent spiking networks using 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
GATSBI: Generative Adversarial Training for Simulation-Based Inference
ICLR 2022
Group equivariant neural posterior estimation
ICLR 2022
Variational methods for simulation-based inference
ICLR 2022
Intrinsic dimension of data representations in deep neural networks
NIPS 2019
Flexible statistical inference for mechanistic models of neural dynamics
NIPS 2017
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
NIPS 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
NIPS 2017
Unlocking neural population non-stationarities using hierarchical dynamics models
NIPS 2015
A Bayesian model for identifying hierarchically organised states in neural population activity
NIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits
NIPS 2014
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NIPS 2013
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
NIPS 2012
Empirical models of spiking in neural populations
NIPS 2011
How biased are maximum entropy models?
NIPS 2011
Bayesian estimation of orientation preference maps
NIPS 2009
Receptive Fields without Spike-Triggering
NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
NIPS 2007
Inducing Metric Violations in Human Similarity Judgements
NIPS 2006