César Ojeda

According to our database, César Ojeda authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Foundation Inference Models for Markov Jump Processes.

David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez

CoRR, 2024

The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language Models.

Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

A Score-Based Approach for Training Schrödinger Bridges for Data Modelling.

Ludwig Winkler, César Ojeda, Manfred Opper

Entropy, February, 2023

Neural Dynamic Focused Topic Model.

Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Stochastic Control for Bayesian Neural Network Training.

Ludwig Winkler, César Ojeda, Manfred Opper

Entropy, 2022

Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects.

Noa Malem-Shinitski, César Ojeda, Manfred Opper

Entropy, 2022

The future is different: Large pre-trained language models fail in prediction tasks.

Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda

CoRR, 2022

Hidden Schema Networks.

Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda

CoRR, 2022

2021

Approximate Inference Applications to Representation Learning and Stochastic Processes Problems

César Ali Marin Ojeda

PhD thesis, 2021

Dynamic Review-based Recommenders.

Kostadin Cvejoski, Ramsés J. Sánchez, Christian Bauckhage, César Ojeda

CoRR, 2021

Nonlinear Hawkes Process with Gaussian Process Self Effects.

Noa Malem-Shinitski, César Ojeda, Manfred Opper

CoRR, 2021

Learning Deep Generative Models for Queuing Systems.

César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Recurrent Point Review Models.

Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Auto Encoding Explanatory Examples with Stochastic Paths.

César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Switching Dynamical Systems with Deep Neural Networks.

César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Recurrent Point Processes for Dynamic Review Models.

Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda

CoRR, 2019

Recurrent Adversarial Service Times.

César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage

CoRR, 2019

A Community Detection Based Approach for Exploring Patterns in Player Reviews.

Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage

Proceedings of the Intelligent Systems and Applications, 2019

Patterns and Outliers in Temporal Point Processes.

César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage

Proceedings of the Intelligent Systems and Applications, 2019

2018

Adiabatic Quantum Computing for Kernel k=2 Means Clustering.

Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Informed Machine Learning Through Functional Composition.

Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

2017

Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM.

Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage

Proceedings of the Lernen, 2017

Inverse Dynamical Inheritance in Stack Exchange Taxonomies.

César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Ising Models for Binary Clustering via Adiabatic Quantum Computing.

Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016

Variable Attention and Variable Noise: Forecasting User Activity.

César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage

Proceedings of the Conference "Lernen, 2016

Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning.

Rafet Sifa, Sridev Srikanth, Anders Drachen, César Ojeda, Christian Bauckhage

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015

User Churn Migration Analysis with DEDICOM.

Rafet Sifa, César Ojeda, Christian Bauckhage

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2012

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