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2020 – today
- 2023
[i6]Bharath Bhushan Damodaran, François Schnitzler, Anne Lambert, Pierre Hellier:
Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation. CoRR abs/2311.06059 (2023)- 2022
- [j3]Lucas Mourot
, Ludovic Hoyet, François Le Clerc, François Schnitzler, Pierre Hellier:
A Survey on Deep Learning for Skeleton-Based Human Animation. Comput. Graph. Forum 41(1): 122-157 (2022) - [c23]Suresh Kirthi Kumaraswamy, Alexey Ozerov, Ngoc Q. K. Duong, Anne Lambert, François Schnitzler, Patrick Fontaine:
Feature Compression Using Dynamic Switches in Multi-split CNNs. ESANN 2022 - [c22]Oussama Jourairi, Muhammet Balcilar, Anne Lambert, François Schnitzler:
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression. PCS 2022: 61-65 - [i5]Oussama Jourairi, Muhammet Balcilar, Anne Lambert, François Schnitzler:
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression. CoRR abs/2210.04898 (2022) - 2021
- [j2]José Suárez-Varela, Miquel Ferriol Galmés, Albert López, 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): 9-16 (2021) - [c21]Deniz Engin, François Schnitzler, Ngoc Q. K. Duong, Yannis Avrithis:
On the hidden treasure of dialog in video question answering. ICCV 2021: 2044-2053 - [c20]Tsiry Mayet, Anne Lambert, Pascal Leguyadec, Françoise Le Bolzer, François Schnitzler:
SkipW: Resource Adaptable RNN with Strict Upper Computational Limit. ICLR 2021 - [c19]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, Rémi Mignot, Alexey Ozerov, François Schnitzler, Artur García-Sáez, Georgios N. Yannakakis, Antonios Liapis, Georgi Kostadinov:
The AI4Media Project: Use of Next-Generation Artificial Intelligence Technologies for Media Sector Applications. AIAI 2021: 81-93 - [i4]Deniz Engin, Yannis Avrithis, Ngoc Q. K. Duong, François Schnitzler:
On the hidden treasure of dialog in video question answering. CoRR abs/2103.14517 (2021) - [i3]José Suárez-Varela, Miquel Ferriol Galmés, Albert López, 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 abs/2107.12433 (2021) - [i2]Lucas Mourot, Ludovic Hoyet, François Le Clerc, François Schnitzler, Pierre Hellier:
A Survey on Deep Learning for Skeleton-Based Human Animation. CoRR abs/2110.06901 (2021) - 2020
- [c18]Anne Lambert, Françoise Le Bolzer, François Schnitzler:
Flexible Recurrent Neural Networks. ECML/PKDD (1) 2020: 694-709
2010 – 2019
- 2017
- [j1]Avigdor Gal, Avishai Mandelbaum, François Schnitzler, Arik Senderovich, Matthias Weidlich:
Traveling time prediction in scheduled transportation with journey segments. Inf. Syst. 64: 266-280 (2017) - 2016
- [c17]Nico Piatkowski, François Schnitzler:
Compressible Reparametrization of Time-Variant Linear Dynamical Systems. Solving Large Scale Learning Tasks 2016: 234-250 - [c16]Clément Lesaege, François Schnitzler, Anne Lambert, Jean-Ronan Vigouroux:
Time-Aware User Identification with Topic Models. ICDM 2016: 997-1002 - [c15]Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko:
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) 2016: 22-26 - 2015
- [c14]François Schnitzler, Jia Yuan Yu, Shie Mannor:
Sensor Selection for Crowdsensing Dynamical Systems. AISTATS 2015 - [c13]Ioannis Katakis, François Schnitzler, Thomas Liebig:
2nd International Workshop on Mining Urban Data (Preface). MUD@ICML 2015: 7-9 - [c12]Avigdor Gal, Avishai Mandelbaum, François Schnitzler, Arik Senderovich, Matthias Weidlich:
On Predicting Traveling Times in Scheduled Transportation (Extended Abstract). MUD@ICML 2015: 88-89 - [c11]Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor:
Off-policy Model-based Learning under Unknown Factored Dynamics. ICML 2015: 711-719 - [c10]Hendrik Stange, Sylvia Steenhoek, Sebastian Bothe, François Schnitzler:
Insight-driven Crisis Information - Preparing for the Unexpected using Big Data. ISCRAM 2015 - [c9]Elizabeth Daly, Michele Berlingerio, François Schnitzler:
Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates. RecSys 2015: 253-256 - [e1]Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik, Gennady L. Andrienko, Shie Mannor:
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), Lille, France, July 11th, 2015. CEUR Workshop Proceedings 1392, CEUR-WS.org 2015 [contents] - [i1]Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor:
Off-policy evaluation for MDPs with unknown structure. CoRR abs/1502.03255 (2015) - 2014
- [c8]François Schnitzler, Thomas Liebig, Shie Marmor, Gustavo Souto, Sebastian Bothe, Hendrik Stange:
Heterogeneous stream processing for disaster detection and alarming. IEEE BigData 2014: 914-923 - [c7]François Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik:
Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. EDBT/ICDT Workshops 2014: 373-374 - [c6]Alexander Artikis, Matthias Weidlich, François Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane:
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT 2014: 712-723 - [c5]François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos:
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) 2014: 520-523 - 2012
- [c4]Arnaud Joly, François Schnitzler, Pierre Geurts, Louis Wehenkel:
L1-based compression of random forest models. ESANN 2012 - 2011
- [c3]Emmanuel Rachelson, François Schnitzler, Louis Wehenkel, Damien Ernst:
Optimal Sample Selection for Batch-mode Reinforcement Learning. ICAART (1) 2011: 41-50 - [c2]François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel:
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) 2011: 113-128 - 2010
- [c1]François Schnitzler, Philippe Leray, Louis Wehenkel:
Towards sub-quadratic learning of probability density models in the form of mixtures of trees. ESANN 2010
Coauthor Index
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