Krzysztof Rusek

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 48

Top Topics

Reinforcement Learning

Spatial And Temporal

Risk Assessment

Top Venues

Comput. Commun.

J. Netw. Syst. Manag.

Publications

Maksymilian Wojnar, Szymon Szott, Krzysztof Rusek, Wojciech Ciezobka
Reinforced-lib: Rapid prototyping of reinforcement learning solutions. SoftwareX 26 (2024)
Wojciech Ciezobka, Maksymilian Wojnar, Krzysztof Rusek, Katarzyna Kosek-Szott, Szymon Szott, Anatolij Zubow, Falko Dressler
Using ranging for collision-immune IEEE 802.11 rate selection with statistical learning. Comput. Commun. 225 (2024)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT (2023)
Wojciech Ciezobka, Maksymilian Wojnar, Katarzyna Kosek-Szott, Szymon Szott, Krzysztof Rusek
FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks. CoRR (2023)
José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37 (3) (2023)
Wojciech Ciezobka, Maksymilian Wojnar, Katarzyna Kosek-Szott, Szymon Szott, Krzysztof Rusek
FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks. WoWMoM (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. CoRR (2023)
Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. J. Netw. Syst. Manag. 31 (3) (2023)
Piotr Borylo, Edyta Biernacka, Jerzy Domzal, Bartosz Kadziolka, Miroslaw Kantor, Krzysztof Rusek, Maciej Skala, Krzysztof Wajda, Robert Wójcik, Wojciech Zabek
A tutorial on reinforcement learning in selected aspects of communications and networking. Comput. Commun. 208 (2023)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31 (6) (2023)
Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Pablo Pérez
Generalized Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses From Quality of Experience Subjective Experiments. IEEE Trans. Multim. 25 (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Leveraging Spatial and Temporal Correlations for Network Traffic Compression. CoRR (2023)
Krzysztof Rusek, Agnieszka Kleszcz, Albert Cabellos-Aparicio
Bayesian inference of spatial and temporal relations in AI patents for EU countries. Scientometrics 128 (6) (2023)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR (2022)
Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. CoRR (2022)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR (2022)
Bogdan Cmiel, Jakub Nawala, Lucjan Janowski, Krzysztof Rusek
Generalised Score Distribution: Underdispersed Continuation of the Beta-Binomial Distribution. CoRR (2022)
Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Comput. Commun. 196 (2022)
Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Pablo Pérez
Generalised Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses from Quality of Experience Subjective Experiments. CoRR (2022)
Krzysztof Rusek, Mathias Drton
Fine-grained network traffic prediction from coarse data. CoRR (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CoRR (2022)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CNSM (2022)
Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Marc A. Kastner, Jan Zahálka
Reproducibility Companion Paper: Describing Subjective Experiment Consistency by $p$-Value P-P Plot. CoRR (2022)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR (2021)
Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Marc A. Kastner, Jan Zahálka
Reproducibility Companion Paper: Describing Subjective Experiment Consistency by p-Value P-P Plot. ACM Multimedia (2021)
Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Scaling Graph-based Deep Learning models to larger networks. CoRR (2021)
José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR (2021)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51 (3) (2021)
Pawel Donath, Michal Grega, Piotr Guzik, Jakub Król, Andrzej Matiolanski, Krzysztof Rusek
Dangerous Tool Detection for CCTV Systems. MCSS (2020)
Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek
Describing Subjective Experiment Consistency by p-Value P-P Plot. CoRR (2020)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. IEEE J. Sel. Areas Commun. 38 (10) (2020)
Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek
Describing Subjective Experiment Consistency by p-Value P-P Plot. ACM Multimedia (2020)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
Krzysztof Rusek, Piotr Cholda
Message-Passing Neural Networks Learn Little's Law. IEEE Commun. Lett. 23 (2) (2019)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. SOSR (2019)
Lucjan Janowski, Jakub Nawala, Werner Robitza, Zhi Li, Lukás Krasula, Krzysztof Rusek
Notation for Subject Answer Analysis. CoRR (2019)
Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. CoRR (2019)
Krzysztof Rusek, Piotr Cholda
Message-Passing Neural Networks Learn Little's Law. CoRR (2019)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards more realistic network models based on Graph Neural Networks. CoNEXT Companion (2019)
José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio
Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos (2019)
Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Jakub Nawala, Zhi Li
Generalized Score Distribution. CoRR (2019)
Krzysztof Rusek
Book Reviews. IEEE Commun. Mag. 56 (12) (2018)
Michal Grega, Pawel Donath, Piotr Guzik, Jakub Król, Andrzej Matiolanski, Krzysztof Rusek, Andrzej Dziech
Application of Logistic Regression for Background Substitution. MCSS (2017)
Krzysztof Rusek, Piotr Guzik
Two-stage neural network regression of eye location in face images. Multim. Tools Appl. 75 (17) (2016)
Piotr Cholda, Krzysztof Rusek, Piotr Guzik
Upper Bound for Failure Risk in Networks. Electron. Notes Discret. Math. 51 (2016)
Krzysztof Rusek, Piotr Guzik, Piotr Cholda
Effective Risk Assessment in Resilient Communication Networks. J. Netw. Syst. Manag. 24 (2) (2016)
Miralem Mehic, Krzysztof Rusek
Book reviews [2 books reviewed]. IEEE Commun. Mag. 52 (8) (2014)
Krzysztof Rusek, Lucjan Janowski, Zdzislaw Papir
Transient and stationary characteristics of a packet buffer modelled as an MAP/SM/1/b system. Int. J. Appl. Math. Comput. Sci. 24 (2) (2014)
Piotr Wydrych, Krzysztof Rusek, Piotr Cholda
Efficient Modelling of Traffic and Quality of Scalable Video Coding (SVC) Encoded Streams. IEEE Commun. Lett. 17 (12) (2013)
Krzysztof Rusek, Piotr Guzik
Neural Network Regression of Eyes Location in Face Images. MCSS (2013)
Jacek Rzasa, Artur Lason, Krzysztof Rusek, Andrzej Szymanski, Andrzej Jajszczyk
On stability of virtual topologies in dynamic multilayer networks. HPSR (2012)
Krzysztof Rusek, Zdzislaw Papir, Lucjan Janowski
MAP/SM/1/b model of a store and forward router interface. SPECTS (2012)
Krzysztof Rusek, Kirby Kemper
Heavy Ion Laboratory of the University of Warsaw. Scholarpedia 7 (7) (2012)
Dominika Tkaczyk, Artur Czeczko, Krzysztof Rusek, Lukasz Bolikowski, Roman Bogacewicz
GROTOAP: ground truth for open access publications. JCDL (2012)
Dominika Tkaczyk, Lukasz Bolikowski, Artur Czeczko, Krzysztof Rusek
A Modular Metadata Extraction System for Born-Digital Articles. Document Analysis Systems (2012)
Krzysztof Rusek, Lucjan Janowski, Zdzislaw Papir
Correct router interface modeling. ICPE (2011)
Krzysztof Rusek, Lucjan Janowski, Zdzislaw Papir
Correct router interface modeling (abstracts only). SIGMETRICS Perform. Evaluation Rev. 39 (3) (2011)
Krzysztof Rusek, Tomasz Orzechowski, Andrzej Dziech
LDA for Face Profile Detection. MCSS (2011)