Kostadin Cvejoski

40 papers A* 5A 1B 5Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Control Models for In-IDE Code Completion. CoRR Aral de Moor, Yana Hrynevich, Hleb Badzeika, Vladyslav Furda, Marko Kojic, Artem Savelev, Kostadin Cvejoski, Darya Rovdo, Ekaterina Garanina
2026	J	`jnl`	Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law. CoRR Ali Hamza Bashir, Muhammad Rehan Khalid, Kostadin Cvejoski, Jana Birr, Jule Berghaus, Armin Berger, Sandra Halscheidt, Christian Temath, Rafet Sifa, David Berghaus
2026	J	`jnl`	Powerful Training-Free Membership Inference Against Autoregressive Language Models. CoRR David Ilic, David Stanojevic, Kostadin Cvejoski
2026	J	`jnl`	Protecting Private Code in IDE Autocomplete using Differential Privacy. CoRR Evgeny Grigorenko, David Stanojevic, David Ilic, Egor Bogomolov, Kostadin Cvejoski
2025	J	`jnl`	Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation. CoRR Patrick Seifner, Kostadin Cvejoski, David Berghaus, César Ojeda, Ramsés J. Sánchez
2025	J	`jnl`	In-Context Learning of Temporal Point Processes with Foundation Inference Models. CoRR David Berghaus, Patrick Seifner, Kostadin Cvejoski, César Ojeda, Ramsés J. Sánchez
2025	B	`conf`	Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. IEEE Big Data David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa
2025	J	`jnl`	Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. CoRR David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa
2025	J	`jnl`	On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery. CoRR David Berghaus, Patrick Seifner, Kostadin Cvejoski, Ramsés J. Sánchez
2025	J	`jnl`	Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models. CoRR Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramsés J. Sánchez
2025	A*	`conf`	Zero-shot Imputation with Foundation Inference Models for Dynamical Systems. ICLR Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramsés J. Sánchez
2024	—	`—`	Deep Dynamic Language Models. Kostadin Cvejoski
2024	A*	`conf`	Foundation Inference Models for Markov Jump Processes. NeurIPS David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ali Marin Ojeda, Ramsés J. Sánchez
2024	J	`jnl`	Foundation Inference Models for Markov Jump Processes. CoRR David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez
2024	J	`jnl`	Foundational Inference Models for Dynamical Systems. CoRR Patrick Seifner, Kostadin Cvejoski, Ramsés J. Sánchez
2024	—	`conf`	The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language Models. ECML/PKDD (1) Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
2023	—	`conf`	Hidden Schema Networks. ACL (1) Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda Marin
2023	A*	`conf`	Neural Dynamic Focused Topic Model. AAAI Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
2023	J	`jnl`	Neural Dynamic Focused Topic Model. CoRR Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
2022	B	`conf`	Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. ARES David Biesner, Kostadin Cvejoski, Rafet Sifa
2022	J	`jnl`	Hidden Schema Networks. CoRR Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda
2022	J	`jnl`	Informed Pre-Training on Prior Knowledge. CoRR Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski
2022	J	`jnl`	Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR 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
2022	J	`jnl`	The future is different: Large pre-trained language models fail in prediction tasks. CoRR Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
2021	—	`conf`	Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
2021	J	`jnl`	Combining expert knowledge and neural networks to model environmental stresses in agriculture. CoRR Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev
2021	J	`jnl`	Dynamic Review-based Recommenders. CoRR Kostadin Cvejoski, Ramsés J. Sánchez, Christian Bauckhage, César Ojeda
2021	A*	`conf`	Introduction to Machine Learning with Robots and Playful Learning. AAAI Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide
2021	A*	`conf`	Learning Deep Generative Models for Queuing Systems. AAAI César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez
2020	B	`conf`	Auto Encoding Explanatory Examples with Stochastic Paths. ICPR César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev
2020	J	`jnl`	Generative Deep Learning Techniques for Password Generation. CoRR David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
2020	B	`conf`	Recurrent Point Review Models. IJCNN Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
2020	J	`jnl`	Recurrent Point Review Models. CoRR Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
2020	B	`conf`	Switching Dynamical Systems with Deep Neural Networks. ICPR César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez
2019	—	`conf`	Patterns and Outliers in Temporal Point Processes. IntelliSys (1) César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage
2019	J	`jnl`	Recurrent Point Processes for Dynamic Review Models. CoRR Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda
2017	—	`conf`	Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage
2017	A	`conf`	Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage
2017	—	`conf`	Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel
2016	—	`conf`	Variable Attention and Variable Noise: Forecasting User Activity. LWDA César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage