Macke, Jakob H.
- Intrinsic dimension of data representations in deep neural networks
2019/05/29 by Alessio Ansuini, Alessandro Laio, Ansuini, Alessio +5 · 1 voice · 62 citations
Computer Science · Mathematics · #Face and Expression Recognition #Morphological variations and asymmetry #Neural Networks and Applications #cs.LG #stat.ML
- Automatic Posterior Transformation for Likelihood-Free Inference
2019/05/17 by David S. Greenberg, Greenberg, David S., Marcel Nonnenmacher +3 · 56 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks
- Flexible statistical inference for mechanistic models of neural dynamics
2017/11/06 by Jan-Matthis Lueckmann, Lueckmann, Jan-Matthis, Pedro J. Gonçalves +9 · 35 citations
Computer Science · Mathematics · Neuroscience · #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Neural dynamics and brain function
- Flow Matching for Scalable Simulation-Based Inference
2023/05/26 by Maximilian Dax, Dax, Maximilian, Jonas Wildberger +9 · 44 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Computational Physics and Python Applications
- Benchmarking Simulation-Based Inference
2021/01/12 by Jan-Matthis Lueckmann, Lueckmann, Jan-Matthis, Jan Boelts +7 · 27 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
- All-in-one simulation-based inference
2024/04/15 by Manuel Gloeckler, Gloeckler, Manuel, Michael Deistler +7 · 2 voices · 26 citations
Computer Science · Decision Sciences · Mathematics · #Simulation Techniques and Applications #cs.AI #cs.LG #stat.ML
- Simulation-Based Inference: A Practical Guide
2025/08/18 by Michael Deistler, Deistler, Michael, Jan Boelts +25 · 3 voices · 13 citations
Computer Science · Mathematics · #stat.ML #cs.LG
- sbi reloaded: a toolkit for simulation-based inference workflows
2024/11/26 by Jan Boelts, Boelts, Jan, Michael Deistler +63 · 19 citations
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Simulation Techniques and Applications
- GATSBI: Generative Adversarial Training for Simulation-Based Inference
2022/03/12 by Jan-Matthis Lueckmann, Ramesh, Poornima, Jan Boelts +10 · 6 citations
Computer Science · Environmental Science · #Data Visualization and Analytics #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Remote Sensing and LiDAR Applications
- Analyzing biological and artificial neural networks: challenges with\n opportunities for synergy?
2018/10/31 by David G. T. Barrett, Ari S. Morcos, Barrett, David G. T. +3 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Neurons and Cognition (q-bio.NC)
- Latent Diffusion for Neural Spiking Data
2024/06/27 by Jaivardhan Kapoor, Kapoor, Jaivardhan, Auguste Schulz +9 · 1 voice · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neurons and Cognition (q-bio.NC) #cs.LG #q-bio.NC
- Simultaneous identification of models and parameters of scientific simulators
2023/05/24 by Cornelius Schröder, Jakob H. Macke, Schröder, Cornelius +1 · 5 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Neural Networks and Applications
- Neural timescales from a computational perspective
2024/09/04 by Roxana Zeraati, Zeraati, Roxana, Anna Levina +5 · 4 voices · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · #q-bio.NC #cs.LG #stat.ML
- Variational methods for simulation-based inference
2022/03/08 by Manuel Glöckler, Michael Deistler, Glöckler, Manuel +3 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
2017/11/06 by Marcel Nonnenmacher, Srinivas C. Turaga, Nonnenmacher, Marcel +3 · 2 citations
Computer Science · Neuroscience · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function
- Adversarial robustness of amortized Bayesian inference
2023/05/24 by Manuel Glöckler, Glöckler, Manuel, Michael Deistler +3 · 1 voice · 3 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- Multiscale Metamorphic VAE for 3D Brain MRI Synthesis
2023/01/09 by Jaivardhan Kapoor, Kapoor, Jaivardhan, Jakob H. Macke +3 · 4 citations
Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Advanced Neuroimaging Techniques and Applications #Cell Image Analysis Techniques
- Inference of a mesoscopic population model from population spike trains
2019/10/03 by René, Alexandre, Longtin, André, Macke, Jakob H. · 2 citations
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
- Compositional simulation-based inference for time series
2024/11/05 by Manuel Gloeckler, Gloeckler, Manuel, Shoji Toyota +5 · 1 voice · 6 citations
Computer Science · #Geochemistry and Geologic Mapping
- Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
2024/02/12 by Vetter, Julius, Moss, Guy, Schröder, Cornelius +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
2023/05/24 by Richard Gao, Gao, Richard, Michael Deistler +3 · 2 citations
Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
2025/04/24 by Julius Vetter, Vetter, Julius, Manuel Gloeckler +5 · 1 voice · 5 citations
Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #cs.LG
- Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
2024/02/19 by Jonas Beck, Nathanael Bosch, Beck, Jonas +11 · 2 citations
Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
2017/11/06 by Artur Speiser, Speiser, Artur, Jinyao Yan +9 · 3 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Neuroscience · #Advanced Fluorescence Microscopy Techniques #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- Flexible Gravitational-Wave Parameter Estimation with Transformers
2025/12/02 by Annalena Kofler, Maximilian Dax, Kofler, Annalena +15 · 2 voices · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #astro-ph.IM #cs.LG #gr-qc