Ramsés J. Sánchez

According to our database, Ramsés J. Sánchez authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

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, February, 2025

Zero-shot Imputation with Foundation Inference Models for Dynamical Systems.

Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramsés J. Sánchez

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Foundational Inference Models for Dynamical Systems.

Patrick Seifner, Kostadin Cvejoski, 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

Foundation Inference Models for Markov Jump Processes.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Neural Markov Jump Processes.

Patrick Seifner, Ramsés J. Sánchez

Proceedings of the International Conference on Machine Learning, 2023

Hidden Schema Networks.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

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

Dynamic Review-based Recommenders.

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

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

Problem Solving with Hopfield Networks and Adiabatic Quantum Computing.

Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa

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