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Jakob H. Macke

31 papers · 2006–2025 · 3 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (19) 🌍 Conference Polyglot (3) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (15) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (23) 🀝 Dynamic Duo (11) πŸ† Keyword Champion πŸ’Ž Century Club (31) πŸ—ƒοΈ Keyword Collector (67) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Conferences

NIPS (23) ICLR (4) ICML (4)

Top co-authors

Jakob H Macke (11) Michael Deistler (8) Lars Buesing (4) Manuel Gloeckler (4) Richard Gao (3) Matthias Bethge (3) Pedro J Goncalves (3) Marcel Nonnenmacher (2) Giacomo Bassetto (2) Srinivas C. Turaga (2)

Research topics

Science (2) Probability (2) Statistics (1)

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