Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations. - Yingzhuo Zhang; Noa Malem-Shinitski; Stephen A. Allsop; Kay Tye; Demba E. Ba (CoRR, 2017)

Estimating a Separably Markov Random Field from Binary Observations. - Yingzhuo Zhang; Noa Malem-Shinitski; Stephen A. Allsop; Kay Tye; Demba E. Ba (Neural Comput., 2018)

A mathematical model of local and global attention in natural scene viewing. - Noa Malem-Shinitski; Manfred Opper; Sebastian Reich; Lisa Schwetlick; Stefan A. Seelig; Ralf Engbert (PLoS Comput. Biol., 2020)

Nonlinear Hawkes Process with Gaussian Process Self Effects. - Noa Malem-Shinitski; César Ojeda; Manfred Opper (CoRR, 2021)

Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects. - Noa Malem-Shinitski; César Ojeda; Manfred Opper (Entropy, 2022)

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) - Noa Malem-Shinitski (2023)