Macke, Jakob H.

39 publications

NeurIPS 2025 A Data and Task-Constrained Mechanistic Model of the Mouse Outer Retina Shows Robustness to Contrast Variations Kyra L. Kadhim, Jonas Beck, Ziwei Huang, Jakob H. Macke, Fred Rieke, Thomas Euler, Michael Deistler, Philipp Berens

ICLR 2025 Compositional Simulation-Based Inference for Time Series Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu, Jakob H. Macke

NeurIPS 2025 Effortless, Simulation-Efficient Bayesian Inference Using Tabular Foundation Models Julius Vetter, Manuel Gloeckler, Daniel Gedon, Jakob H. Macke

NeurIPS 2025 FNOPE: Simulation-Based Inference on Function Spaces with Fourier Neural Operators Guy Moss, Leah Sophie Muhle, Reinhard Drews, Jakob H. Macke, Cornelius Schröder

NeurIPS 2025 Identifying Multi-Compartment Hodgkin-Huxley Models with High-Density Extracellular Voltage Recordings Ian Christopher Tanoh, Michael Deistler, Jakob H. Macke, Scott Linderman

TMLR 2024 A Practical Guide to Sample-Based Statistical Distances for Evaluating Generative Models in Science Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Gloeckler, Lisa Haxel, Jaivardhan Kapoor, Janne K Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix C Pei, Rachel Rapp, A Erdem Sağtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter

ICML 2024 All-in-One Simulation-Based Inference Manuel Gloeckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke

TMLR 2024 Amortized Bayesian Decision Making for Simulation-Based Models Mila Gorecki, Jakob H. Macke, Michael Deistler

ICML 2024 Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens

NeurIPS 2024 Inferring Stochastic Low-Rank Recurrent Neural Networks from Neural Data Matthijs Pals, A Erdem Sağtekin, Felix Pei, Manuel Gloeckler, Jakob H Macke

NeurIPS 2024 Latent Diffusion for Neural Spiking Data Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke

ICML 2024 Simultaneous Identification of Models and Parameters of Scientific Simulators Cornelius Schröder, Jakob H. Macke

NeurIPS 2024 Sourcerer: Sample-Based Maximum Entropy Source Distribution Estimation Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke

ICML 2023 Adversarial Robustness of Amortized Bayesian Inference Manuel Gloeckler, Michael Deistler, Jakob H. Macke

NeurIPS 2023 Flow Matching for Scalable Simulation-Based Inference Jonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen Green, Jakob H Macke, Bernhard Schölkopf

ICMLW 2023 Flow Matching for Scalable Simulation-Based Inference Jonas Bernhard Wildberger, Maximilian Dax, Simon Buchholz, Stephen R Green, Jakob H. Macke, Bernhard Schölkopf

NeurIPS 2023 Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao, Michael Deistler, Jakob H Macke

NeurIPS 2023 Meta-Learning Families of Plasticity Rules in Recurrent Spiking Networks Using Simulation-Based Inference Basile Confavreux, Poornima Ramesh, Pedro J Goncalves, Jakob H Macke, Tim Vogels

NeurIPS 2022 Efficient Identification of Informative Features in Simulation-Based Inference Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H Macke, Philipp Berens

ICLR 2022 GATSBI: Generative Adversarial Training for Simulation-Based Inference Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Goncalves, Jakob H. Macke

ICLR 2022 Group Equivariant Neural Posterior Estimation Maximilian Dax, Stephen R Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke

NeurIPS 2022 Truncated Proposals for Scalable and Hassle-Free Simulation-Based Inference Michael Deistler, Pedro J Goncalves, Jakob H Macke

ICLR 2022 Variational Methods for Simulation-Based Inference Manuel Glöckler, Michael Deistler, Jakob H. Macke

NeurIPSW 2019 Adversarial Training of Neural Encoding Models on Population Spike Trains Poornima Ramesh, Mohamad Atayi, Jakob H Macke

NeurIPS 2019 Intrinsic Dimension of Data Representations in Deep Neural Networks Alessio Ansuini, Alessandro Laio, Jakob H Macke, Davide Zoccolan

NeurIPS 2017 Extracting Low-Dimensional Dynamics from Multiple Large-Scale Neural Population Recordings by Learning to Predict Correlations Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H Macke

NeurIPS 2017 Fast Amortized Inference of Neural Activity from Calcium Imaging Data with Variational Autoencoders Artur Speiser, Jinyao Yan, Evan W Archer, Lars Buesing, Srinivas C. Turaga, Jakob H Macke

NeurIPS 2017 Flexible Statistical Inference for Mechanistic Models of Neural Dynamics Jan-Matthis Lueckmann, Pedro J Goncalves, Giacomo Bassetto, Kaan Öcal, Marcel Nonnenmacher, Jakob H Macke

NeurIPS 2015 Unlocking Neural Population Non-Stationarities Using Hierarchical Dynamics Models Mijung Park, Gergo Bohner, Jakob H. Macke

NeurIPS 2014 A Bayesian Model for Identifying Hierarchically Organised States in Neural Population Activity Patrick Putzky, Florian Franzen, Giacomo Bassetto, Jakob H. Macke

NeurIPS 2014 Low-Dimensional Models of Neural Population Activity in Sensory Cortical Circuits Evan W Archer, Urs Koster, Jonathan W Pillow, Jakob H. Macke

NeurIPS 2013 Inferring Neural Population Dynamics from Multiple Partial Recordings of the Same Neural Circuit Srini Turaga, Lars Buesing, Adam M Packer, Henry Dalgleish, Noah Pettit, Michael Hausser, Jakob H Macke

NeurIPS 2012 Spectral Learning of Linear Dynamics from Generalised-Linear Observations with Application to Neural Population Data Lars Buesing, Jakob H. Macke, Maneesh Sahani

NeurIPS 2011 Empirical Models of Spiking in Neural Populations Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani

NeurIPS 2011 How Biased Are Maximum Entropy Models? Jakob H. Macke, Iain Murray, Peter E. Latham

NeurIPS 2009 Bayesian Estimation of Orientation Preference Maps Sebastian Gerwinn, Leonard White, Matthias Kaschube, Matthias Bethge, Jakob H. Macke

NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke, Matthias Seeger

NeurIPS 2007 Receptive Fields Without Spike-Triggering Guenther Zeck, Matthias Bethge, Jakob H. Macke

NeurIPS 2006 Inducing Metric Violations in Human Similarity Judgements Julian Laub, Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke