Comparison between different oxygen adsorption mechanisms for the catalytic oxidation of CO on a surface. - César Ojeda; Gloria M. Buendía (J. Comput. Methods Sci. Eng., 2012)

User Churn Migration Analysis with DEDICOM. - Rafet Sifa; César Ojeda; Christian Bauckhage (RecSys, 2015)

Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning. - Rafet Sifa; Sridev Srikanth; Anders Drachen; César Ojeda; Christian Bauckhage (CIG, 2016)

Variable Attention and Variable Noise: Forecasting User Activity. - César Ojeda; Kostadin Cvejoski; Rafet Sifa; Christian Bauckhage (LWDA, 2016)

Ising Models for Binary Clustering via Adiabatic Quantum Computing. - Christian Bauckhage; Eduardo Brito; Kostadin Cvejoski; César Ojeda; Rafet Sifa; Stefan Wrobel (EMMCVPR, 2017)

Inverse Dynamical Inheritance in Stack Exchange Taxonomies. - César Ojeda; Kostadin Cvejoski; Rafet Sifa; Christian Bauckhage (ICWSM, 2017)

Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. - Rafet Sifa; César Ojeda; Kostadin Cvejoski; Christian Bauckhage (LWDA, 2017)

Informed Machine Learning Through Functional Composition. - Christian Bauckhage; César Ojeda; Jannis Schücker; Rafet Sifa; Stefan Wrobel (LWDA, 2018)

Adiabatic Quantum Computing for Kernel k=2 Means Clustering. - Christian Bauckhage; César Ojeda; Rafet Sifa; Stefan Wrobel (LWDA, 2018)

Patterns and Outliers in Temporal Point Processes. - César Ali Marin Ojeda; Kostadin Cvejoski; Rafet Sifa; Jannis Schücker; Christian Bauckhage (IntelliSys (1), 2019)

A Community Detection Based Approach for Exploring Patterns in Player Reviews. - Maren Pielka; Rafet Sifa; Rajkumar Ramamurthy; César Ojeda; Christian Bauckhage (IntelliSys (1), 2019)

Recurrent Adversarial Service Times. - César Ojeda; Kostadin Cvejosky; Ramsés J. Sánchez; Jannis Schücker; Bogdan Georgiev; Christian Bauckhage (CoRR, 2019)

Recurrent Point Processes for Dynamic Review Models. - Kostadin Cvejoski; Ramsés J. Sánchez; Bogdan Georgiev; Jannis Schuecker; Christian Bauckhage; César Ojeda (CoRR, 2019)

Switching Dynamical Systems with Deep Neural Networks. - César Ojeda; Bogdan Georgiev; Kostadin Cvejoski; Jannis Schücker; Christian Bauckhage; Ramsés J. Sánchez (ICPR, 2020)

Auto Encoding Explanatory Examples with Stochastic Paths. - César Ojeda; Ramsés J. Sánchez; Kostadin Cvejoski; Jannis Schücker; Christian Bauckhage; Bogdan Georgiev (ICPR, 2020)

Recurrent Point Review Models. - Kostadin Cvejoski; Ramsés J. Sánchez; Bogdan Georgiev; Christian Bauckhage; César Ojeda (IJCNN, 2020)

Learning Deep Generative Models for Queuing Systems. - César Ojeda; Kostadin Cvejoski; Bogdan Georgiev; Christian Bauckhage; Jannis Schuecker; Ramsés J. Sánchez (AAAI, 2021)

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

Dynamic Review-based Recommenders. - Kostadin Cvejoski; Ramsés J. Sánchez; Christian Bauckhage; César Ojeda (CoRR, 2021)

Approximate Inference Applications to Representation Learning and Stochastic Processes Problems - César Ali Marin Ojeda (2021)

Hidden Schema Networks. - Ramsés J. Sánchez; Lukas Conrads; Pascal Welke; Kostadin Cvejoski; César Ojeda (CoRR, 2022)

The future is different: Large pre-trained language models fail in prediction tasks. - Kostadin Cvejoski; Ramsés J. Sánchez; César Ojeda (CoRR, 2022)

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

Stochastic Control for Bayesian Neural Network Training. - Ludwig Winkler; César Ojeda; Manfred Opper (Entropy, 2022)

Neural Dynamic Focused Topic Model. - Kostadin Cvejoski; Ramsés J. Sánchez; César Ojeda (AAAI, 2023)

A Score-Based Approach for Training Schrödinger Bridges for Data Modelling. - Ludwig Winkler; César Ojeda; Manfred Opper (Entropy, 2023)

Foundation Inference Models for Markov Jump Processes. - David Berghaus; Kostadin Cvejoski; Patrick Seifner; César Ali Marin Ojeda; Ramsés J. Sánchez (NeurIPS, 2024)

The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language Models. - Kostadin Cvejoski; Ramsés J. Sánchez; César Ojeda (ECML/PKDD (1), 2024)

Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation. - Patrick Seifner; Kostadin Cvejoski; David Berghaus; César Ojeda; Ramsés J. Sánchez (CoRR, 2025)