César Ojeda

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Tensor Factorization

Variational Bayesian Inference

Top Venues

Publications

David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez
Foundation Inference Models for Markov Jump Processes. CoRR (2024)
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
Neural Dynamic Focused Topic Model. AAAI (2023)
Ludwig Winkler, César Ojeda, Manfred Opper
A Score-Based Approach for Training Schrödinger Bridges for Data Modelling. Entropy 25 (2) (2023)
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
Neural Dynamic Focused Topic Model. CoRR (2023)
Noa Malem-Shinitski, César Ojeda, Manfred Opper
Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects. Entropy 24 (3) (2022)
Ludwig Winkler, César Ojeda, Manfred Opper
Stochastic Control for Bayesian Neural Network Training. Entropy 24 (8) (2022)
Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda
Hidden Schema Networks. CoRR (2022)
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
The future is different: Large pre-trained language models fail in prediction tasks. CoRR (2022)
César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez
Learning Deep Generative Models for Queuing Systems. AAAI (2021)
Kostadin Cvejoski, Ramsés J. Sánchez, Christian Bauckhage, César Ojeda
Dynamic Review-based Recommenders. CoRR (2021)
César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
Recurrent Point Review Models. IJCNN (2020)
César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez
Switching Dynamical Systems with Deep Neural Networks. ICPR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
Recurrent Point Review Models. CoRR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda
Recurrent Point Processes for Dynamic Review Models. CoRR (2019)
Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage
A Community Detection Based Approach for Exploring Patterns in Player Reviews. IntelliSys (1) (2019)
César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage
Recurrent Adversarial Service Times. CoRR (2019)
Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel
Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA (2018)
Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel
Informed Machine Learning Through Functional Composition. LWDA (2018)
César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage
Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM (2017)
Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA (2017)
Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel
Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR (2017)
César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage
Variable Attention and Variable Noise: Forecasting User Activity. LWDA (2016)
Rafet Sifa, Sridev Srikanth, Anders Drachen, César Ojeda, Christian Bauckhage
Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning. CIG (2016)
Rafet Sifa, César Ojeda, Christian Bauckhage
User Churn Migration Analysis with DEDICOM. RecSys (2015)