François Schnitzler

Orcid: 0000-0003-1304-2157

According to our database1, François Schnitzler authored at least 28 papers between 2010 and 2023.

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Bibliography

2023
Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation.
CoRR, 2023

2022
A Survey on Deep Learning for Skeleton-Based Human Animation.
Comput. Graph. Forum, 2022

Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression.
Proceedings of the Picture Coding Symposium, 2022

Feature Compression Using Dynamic Switches in Multi-split CNNs.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

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

The AI4Media Project: Use of Next-Generation Artificial Intelligence Technologies for Media Sector Applications.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

SkipW: Resource Adaptable RNN with Strict Upper Computational Limit.
Proceedings of the 9th International Conference on Learning Representations, 2021

On the hidden treasure of dialog in video question answering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Flexible Recurrent Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2017
Traveling time prediction in scheduled transportation with journey segments.
Inf. Syst., 2017

2016

Time-Aware User Identification with Topic Models.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Compressible Reparametrization of Time-Variant Linear Dynamical Systems.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Off-policy evaluation for MDPs with unknown structure.
CoRR, 2015

Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Insight-driven Crisis Information - Preparing for the Unexpected using Big Data.
Proceedings of the 12th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2015

2nd International Workshop on Mining Urban Data (Preface).
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Off-policy Model-based Learning under Unknown Factored Dynamics.
Proceedings of the 32nd International Conference on Machine Learning, 2015

On Predicting Traveling Times in Scheduled Transportation (Extended Abstract).
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Sensor Selection for Crowdsensing Dynamical Systems.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Heterogeneous stream processing for disaster detection and alarming.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2012
L1-based compression of random forest models.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Optimal Sample Selection for Batch-mode Reinforcement Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010
Towards sub-quadratic learning of probability density models in the form of mixtures of trees.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010


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