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Auflistung 7 Mathematisch-Naturwissenschaftliche Fakultät nach Autor

Auflistung 7 Mathematisch-Naturwissenschaftliche Fakultät nach Autor "Macke, Jakob H."

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A Theory for the Emergence of Neocortical Network Architecture

Macke, Jakob H (2020)
Adapting to noise distribution shifts in flow-based gravitational-wave inference

Macke, Jakob H.; Schölkopf, Bernhard; Buonanno, Alessandra; Pürrer, Michael; Gair, Jonathan; Green, Stephen R.; Dax, Maximilian; Wildberger, Jonas (2023)
Adversarial robustness of amortized Bayesian inference

Macke, Jakob H.; Deistler, Michael; Glöckler, Manuel (2023)
Amortized Bayes inference of gravitational waves with normalizing flows

Macke, Jakob H.; Dax, Maximilian; Gair, Jonathan; Buonanno, Alessandra; Green, Stephen R.; Schölkopf, Bernhard (2021)
Amortized Bayesian Decision Making for simulation-based models

Deistler, Michael; Macke, Jakob H.; Gorecki, Mila (2023)
Benchmarking Simulation-Based Inference

Boelts, Jan; Lückmann, Jan-Matthis; Macke, Jakob H.; Greenberg, David S.; Gonçalves, Pedro J. (2021)
Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types

Macke, Jakob H.; Berens, Philipp; Kobak, Dimitry; Tolias, Andreas S.; Scala, Federico; Stimberg, Marcel; Beck, Jonas; Gonçalves, Pedro J.; Deistler, Michael; Bernaerts, Yves (2023)
Connectome-constrained deep mechanistic networks predict neural responses across the fly visual system at single-neuron resolution

Macke, Jakob H.; Turaga, Srinivas C.; Gruntman, Eyal; Takemura, Shin-ya; Shinomiya, Kazunori; Nern, Aljoscha; McGill, Mason; Prakhya, Sridhama; Tschopp, Fabian D.; Lappalainen, Janne K. (2023)
Determining Basal Mass Balance of Ice Shelves Using Simulation-Based Inference

Macke, Jakob H.; Drews, Reinhard; Schröder, Cornelius; Višnjević, Vjeran; Moss, Guy (2023)
Discrimination of simple objects decoded from the output of retinal ganglion cells upon sinusoidal electrical stimulation

Corna, Andrea; Ramesh, Poornima; Jetter, Florian; Lee, Meng-Jung; Macke, Jakob H.; Zeck, Guenther (2021)
Electrophysiology Analysis, Bayesian

Bassetto, Giacomo; Macke, Jakob H. (2020)
GATSBI: Generative Adversarial Training for Simulation-Based Inference

Macke, Jakob H.; Gonçalves, Pedro J.; Greenberg, David S.; Tejero-Cantero, Álvaro; Boelts, Jan; Lueckmann, Jan-Matthis; Ramesh, Poornima (2022)
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation

Macke, Jakob H.; Deistler, Michael; Gao, Richard (2023)
Generating realistic neurophysiological time series with denoising diffusion probabilistic models

Macke, Jakob H.; Vetter, Julius; Gao, Richard (2023)
Group equivariant neural posterior estimation

Macke, Jakob H.; Schölkopf, Bernhard; Deistler, Michael; Gair, Jonathan; Green, Stephen R.; Dax, Maximilian (2023)
Indistinguishable network dynamics can emerge from unalike plasticity rules

Macke, Jakob H.; Vogels, Tim P.; Goncalves, Pedro J.; Confavreux, Basile; Ramesh, Poornima (2023)
Inferring decoding strategies from choice probabilities in the presence of correlated variability

Haefner, Ralf M.; Gerwinn, Sebastian; Macke, Jakob H.; Bethge, Matthias (2013)
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference

Confavreux, Basile; Ramesh, Poornima; Goncalves, Pedro J.; Macke, Jakob H.; Vogels, Tim P. (2023)
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis

Baumgartner, Christian F.; Macke, Jakob H.; Kapoor, Jaivardhan (2023)
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis

Baumgartner, Christian F.; Macke, Jakob H.; Kapoor, Jaivardhan (2023)

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