Gustav Sourek

Orcid: 0000-0001-6964-4232

According to our database1, Gustav Sourek authored at least 20 papers between 2013 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
Beyond graph neural networks with lifted relational neural networks.
Mach. Learn., 2021

Optimal sports betting strategies in practice: an experimental review.
CoRR, 2021

Lossless Compression of Structured Convolutional Models via Lifting.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Learning with Molecules beyond Graph Neural Networks.
CoRR, 2020

Lossless Compression of Structured Convolutional Models via Lifting.
CoRR, 2020

2019
Efficient Extraction of Network Event Types from NetFlows.
Secur. Commun. Networks, 2019

Learning to predict soccer results from relational data with gradient boosted trees.
Mach. Learn., 2019

Revisiting Neural-Symbolic Learning Cycle.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Scaling up relational templated neural models.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Deep Learning with Relational Logic Representations.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures.
J. Artif. Intell. Res., 2018

Deep Learning from Spatial Relations for Soccer Pass Prediction.
Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Lifted Relational Team Embeddings for Predictive Sports Analytics.
Proceedings of the Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), 2018

2017
Pruning Hypothesis Spaces Using Learned Domain Theories.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Stacked Structure Learning for Lifted Relational Neural Networks.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

2016
Learning Predictive Categories Using Lifted Relational Neural Networks.
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

2015
Visual data-flow framework of evolutionary computation.
Proceedings of the 2015 Conference on research in adaptive and convergent systems, 2015

Lifted Relational Neural Networks.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic.
Proceedings of the Intelligent Mechanisms for Network Configuration and Security, 2015

2013
Predicting Top-k Trends on Twitter using Graphlets and Time Features.
Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013


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