Towards sub-quadratic learning of probability density models in the form of mixtures of trees. - François Schnitzler; Philippe Leray 001; Louis Wehenkel (ESANN, 2010)

Optimal Sample Selection for Batch-mode Reinforcement Learning. - Emmanuel Rachelson; François Schnitzler; Louis Wehenkel; Damien Ernst (ICAART (1), 2011)

Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. - François Schnitzler; Sourour Ammar; Philippe Leray 001; Pierre Geurts; Louis Wehenkel (ECML/PKDD (3), 2011)

L1-based compression of random forest models. - Arnaud Joly; François Schnitzler; Pierre Geurts; Louis Wehenkel (ESANN, 2012)

Heterogeneous stream processing for disaster detection and alarming. - François Schnitzler; Thomas Liebig; Shie Marmor; Gustavo Souto; Sebastian Bothe; Hendrik Stange (IEEE BigData, 2014)

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. - Alexander Artikis; Matthias Weidlich 001; François Schnitzler; Ioannis Boutsis; Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik; Vana Kalogeraki; Jakub Marecek; Avigdor Gal; Shie Mannor; et al. (EDBT, 2014)

Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. - François Schnitzler; Thomas Liebig; Shie Mannor; Katharina Morik (EDBT/ICDT Workshops, 2014)

Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. - François Schnitzler; Alexander Artikis; Matthias Weidlich 001; Ioannis Boutsis; Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik; Vana Kalogeraki; Jakub Marecek; Avigdor Gal; Shie Mannor; et al. (ECML/PKDD (3), 2014)

Sensor Selection for Crowdsensing Dynamical Systems. - François Schnitzler; Jia Yuan Yu; Shie Mannor (AISTATS, 2015)

On Predicting Traveling Times in Scheduled Transportation (Extended Abstract). - Avigdor Gal; Avishai Mandelbaum; François Schnitzler; Arik Senderovich; Matthias Weidlich 001 (MUD@ICML, 2015)

Off-policy Model-based Learning under Unknown Factored Dynamics. - Assaf Hallak; François Schnitzler; Timothy A. Mann; Shie Mannor (ICML, 2015)

2nd International Workshop on Mining Urban Data (Preface). - Ioannis Katakis 001; François Schnitzler; Thomas Liebig (MUD@ICML, 2015)

Insight-driven Crisis Information - Preparing for the Unexpected using Big Data. - Hendrik Stange; Sylvia Steenhoek; Sebastian Bothe; François Schnitzler (ISCRAM, 2015)

Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates. - Elizabeth Daly; Michele Berlingerio; François Schnitzler (RecSys, 2015)

Off-policy evaluation for MDPs with unknown structure. - Assaf Hallak; François Schnitzler; Timothy A. Mann; Shie Mannor (CoRR, 2015)

Compressible Reparametrization of Time-Variant Linear Dynamical Systems. - Nico Piatkowski; François Schnitzler (Solving Large Scale Learning Tasks, 2016)

Time-Aware User Identification with Topic Models. - Clément Lesaege; François Schnitzler; Anne Lambert; Jean-Ronan Vigouroux (ICDM, 2016)

INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. - Nikolaos Panagiotou; Nikolas Zygouras; Ioannis Katakis 001; Dimitrios Gunopulos; Nikos Zacheilas; Ioannis Boutsis; Vana Kalogeraki; Stephen Lynch; Brendan O'Brien; Dermot Kinane; Jakub Marecek; Jia Yuan Yu; et al. (ECML/PKDD (3), 2016)

Traveling time prediction in scheduled transportation with journey segments. - Avigdor Gal; Avishai Mandelbaum; François Schnitzler; Arik Senderovich; Matthias Weidlich 001 (Inf. Syst., 2017)

Flexible Recurrent Neural Networks. - Anne Lambert; Françoise Le Bolzer; François Schnitzler (ECML/PKDD (1), 2020)

On the hidden treasure of dialog in video question answering. - Deniz Engin; François Schnitzler; Ngoc Q. K. Duong; Yannis Avrithis (ICCV, 2021)

SkipW: Resource Adaptable RNN with Strict Upper Computational Limit. - Tsiry Mayet; Anne Lambert; Pascal Leguyadec; Françoise Le Bolzer; François Schnitzler (ICLR, 2021)

The AI4Media Project: Use of Next-Generation Artificial Intelligence Technologies for Media Sector Applications. - Filareti Tsalakanidou; Symeon Papadopoulos; Vasileios Mezaris; Ioannis Kompatsiaris; Birgit Gray; Danae Tsabouraki; Maritini Kalogerini; Fulvio Negro; Maurizio Montagnuolo; Jesse de Vos; Philo van Kemenade; Daniele Gravina; et al. (AIAI, 2021)

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. - José Suárez-Varela; Miquel Ferriol Galmés; Albert López; Paul Almasan; Guillermo Bernárdez; David Pujol-Perich; Krzysztof Rusek; Loïck Bonniot; Christoph Neumann 001; François Schnitzler; François Taïani; Martin Happ; et al. (Comput. Commun. Rev., 2021)

Feature Compression Using Dynamic Switches in Multi-split CNNs. - Suresh Kirthi Kumaraswamy; Alexey Ozerov; Ngoc Q. K. Duong; Anne Lambert; François Schnitzler; Patrick Fontaine (ESANN, 2022)

Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression. - Oussama Jourairi; Muhammet Balcilar; Anne Lambert; François Schnitzler (PCS, 2022)

A Survey on Deep Learning for Skeleton-Based Human Animation. - Lucas Mourot; Ludovic Hoyet; François Le Clerc; François Schnitzler; Pierre Hellier (Comput. Graph. Forum, 2022)

Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation. - Bharath Bhushan Damodaran; François Schnitzler; Anne Lambert; Pierre Hellier (CoRR, 2023)