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ORCIDNoa Malem-Shinitski
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2020 – today
- 2023
[b1]Noa Malem-Shinitski:
Bayesian inference and modeling for point processes with applications from neuronal activity to scene viewing (Bayessche Inferenz und Modellierung für Punktprozesse mit Anwendungen von neuronaler Aktivität bis Szenenbetrachtung). University of Potsdam, Germany, 2023- 2022
- [j3]Noa Malem-Shinitski
, César Ojeda, Manfred Opper:
Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects. Entropy 24(3): 356 (2022) - 2021
- [i2]Noa Malem-Shinitski, César Ojeda, Manfred Opper:
Nonlinear Hawkes Process with Gaussian Process Self Effects. CoRR abs/2105.09618 (2021) - 2020
- [j2]Noa Malem-Shinitski, Manfred Opper, Sebastian Reich, Lisa Schwetlick, Stefan A. Seelig, Ralf Engbert:
A mathematical model of local and global attention in natural scene viewing. PLoS Comput. Biol. 16(12) (2020)
2010 – 2019
- 2018
- [j1]Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba:
Estimating a Separably Markov Random Field from Binary Observations. Neural Comput. 30(4) (2018) - 2017
- [i1]Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba:
Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations. CoRR abs/1709.09723 (2017)
Coauthor Index
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