Kostadin Cvejoski

According to our database, Kostadin Cvejoski authored at least 27 papers between 2016 and 2024.

Collaborative distances:

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

2024

Deep Dynamic Language Models.

Kostadin Cvejoski

PhD thesis, 2024

Foundation Inference Models for Markov Jump Processes.

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

CoRR, 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

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

Informed Pre-Training on Prior Knowledge.

Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski

CoRR, 2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation.

David Biesner, Kostadin Cvejoski, Rafet Sifa

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Combining expert knowledge and neural networks to model environmental stresses in agriculture.

Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev

CoRR, 2021

Dynamic Review-based Recommenders.

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

CoRR, 2021

Advances in Password Recovery Using Generative Deep Learning Techniques.

David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Introduction to Machine Learning with Robots and Playful Learning.

Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide

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

Generative Deep Learning Techniques for Password Generation.

David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka

CoRR, 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

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

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