Kostadin Cvejoski

According to our database1, Kostadin Cvejoski authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep Dynamic Language Models.
PhD thesis, 2024

Foundation Inference Models for Markov Jump Processes.
CoRR, 2024

Foundational Inference Models for Dynamical Systems.
CoRR, 2024

The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023
Hidden Schema Networks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Neural Dynamic Focused Topic Model.
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.
CoRR, 2022

Hidden Schema Networks.
CoRR, 2022

Informed Pre-Training on Prior Knowledge.
CoRR, 2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR, 2022

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation.
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.
CoRR, 2021

Dynamic Review-based Recommenders.
CoRR, 2021

Advances in Password Recovery Using Generative Deep Learning Techniques.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Introduction to Machine Learning with Robots and Playful Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Deep Generative Models for Queuing Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Generative Deep Learning Techniques for Password Generation.
CoRR, 2020

Recurrent Point Review Models.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Auto Encoding Explanatory Examples with Stochastic Paths.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Switching Dynamical Systems with Deep Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Recurrent Point Processes for Dynamic Review Models.
CoRR, 2019

Recurrent Adversarial Service Times.
CoRR, 2019

Patterns and Outliers in Temporal Point Processes.
Proceedings of the Intelligent Systems and Applications, 2019

2017
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM.
Proceedings of the Lernen, 2017

Inverse Dynamical Inheritance in Stack Exchange Taxonomies.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Ising Models for Binary Clustering via Adiabatic Quantum Computing.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016
Variable Attention and Variable Noise: Forecasting User Activity.
Proceedings of the Conference "Lernen, 2016


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