Krzysztof Rusek

Orcid: 0000-0003-4336-7841

According to our database1, Krzysztof Rusek authored at least 47 papers between 2011 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reinforced-lib: Rapid prototyping of reinforcement learning solutions.
SoftwareX, 2024

2023
RouteNet-Fermi: Network Modeling With Graph Neural Networks.
IEEE/ACM Trans. Netw., December, 2023

RiskNet: Neural Risk Assessment in Networks of Unreliable Resources.
J. Netw. Syst. Manag., July, 2023

Bayesian inference of spatial and temporal relations in AI patents for EU countries.
Scientometrics, June, 2023

Generalized Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses From Quality of Experience Subjective Experiments.
IEEE Trans. Multim., 2023

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw., 2023

Leveraging Spatial and Temporal Correlations for Network Traffic Compression.
CoRR, 2023

A tutorial on reinforcement learning in selected aspects of communications and networking.
Comput. Commun., 2023

FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks.
Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

2022
Generalised Score Distribution: Underdispersed Continuation of the Beta-Binomial Distribution.
CoRR, 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
CoRR, 2022

Generalised Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses from Quality of Experience Subjective Experiments.
CoRR, 2022

Fine-grained network traffic prediction from coarse data.
CoRR, 2022

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case.
Comput. Commun., 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
Proceedings of the IEEE INFOCOM 2022, 2022

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing.
Proceedings of the 18th International Conference on Network and Service Management, 2022

2021
Scaling Graph-based Deep Learning models to larger networks.
CoRR, 2021

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
Comput. Commun. Rev., 2021

Reproducibility Companion Paper: Describing Subjective Experiment Consistency by p-Value P-P Plot.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN.
IEEE J. Sel. Areas Commun., 2020

Describing Subjective Experiment Consistency by p-Value P-P Plot.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Dangerous Tool Detection for CCTV Systems.
Proceedings of the Multimedia Communications, Services and Security, 2020

2019
Message-Passing Neural Networks Learn Little's Law.
IEEE Commun. Lett., 2019

Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case.
CoRR, 2019

Generalized Score Distribution.
CoRR, 2019

Notation for Subject Answer Analysis.
CoRR, 2019

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.
Proceedings of the 2019 ACM Symposium on SDN Research, 2019

Challenging the generalization capabilities of Graph Neural Networks for network modeling.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

Towards more realistic network models based on Graph Neural Networks.
Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

2018
Book Reviews.
IEEE Commun. Mag., 2018

2017
Application of Logistic Regression for Background Substitution.
Proceedings of the Multimedia Communications, Services and Security, 2017

2016
Two-stage neural network regression of eye location in face images.
Multim. Tools Appl., 2016

Effective Risk Assessment in Resilient Communication Networks.
J. Netw. Syst. Manag., 2016

Upper Bound for Failure Risk in Networks.
Electron. Notes Discret. Math., 2016

2014
Book reviews [2 books reviewed].
IEEE Commun. Mag., 2014

Transient and stationary characteristics of a packet buffer modelled as an MAP/SM/1/b system.
Int. J. Appl. Math. Comput. Sci., 2014

2013
Efficient Modelling of Traffic and Quality of Scalable Video Coding (SVC) Encoded Streams.
IEEE Commun. Lett., 2013

Neural Network Regression of Eyes Location in Face Images.
Proceedings of the Multimedia Communications, Services and Security, 2013

2012
Heavy Ion Laboratory of the University of Warsaw.
Scholarpedia, 2012

MAP/SM/1/b model of a store and forward router interface.
Proceedings of the International Symposium on Performance Evaluation of Computer & Telecommunication Systems, 2012

GROTOAP: ground truth for open access publications.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

On stability of virtual topologies in dynamic multilayer networks.
Proceedings of the 13th IEEE International Conference on High Performance Switching and Routing, 2012

A Modular Metadata Extraction System for Born-Digital Articles.
Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012

2011
Correct router interface modeling (abstracts only).
SIGMETRICS Perform. Evaluation Rev., 2011

Correct router interface modeling.
Proceedings of the ICPE'11, 2011

LDA for Face Profile Detection.
Proceedings of the Multimedia Communications, Services and Security, 2011


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