Kostadin Cvejoski

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Matrix Factorization

Queuing Systems

Point Processes

Top Venues

Publications

Patrick Seifner, Kostadin Cvejoski, Ramsés J. Sánchez
Foundational Inference Models for Dynamical Systems. CoRR (2024)
Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda Marin
Hidden Schema Networks. ACL (1) (2023)
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
Neural Dynamic Focused Topic Model. AAAI (2023)
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
Neural Dynamic Focused Topic Model. CoRR (2023)
Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda
Hidden Schema Networks. CoRR (2022)
David Biesner, Kostadin Cvejoski, Rafet Sifa
Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. ARES (2022)
Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski
Informed Pre-Training on Prior Knowledge. CoRR (2022)
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
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR (2022)
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
The future is different: Large pre-trained language models fail in prediction tasks. CoRR (2022)
David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) (2021)
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)
Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev
Combining expert knowledge and neural networks to model environmental stresses in agriculture. CoRR (2021)
Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide
Introduction to Machine Learning with Robots and Playful Learning. AAAI (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)
David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
Generative Deep Learning Techniques for Password Generation. CoRR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
Recurrent Point Review Models. CoRR (2020)
César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) (2019)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda
Recurrent Point Processes for Dynamic Review Models. CoRR (2019)
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)