Djalel Benbouzid

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Balazs KEGLResearch scientist, Paris AI leader, Noah's Ark Lab, Huawei ResearchPotvrđena adresa e-pošte na huawei.com
Robert Busa-FeketeResearch scientist, Google ResearchPotvrđena adresa e-pošte na google.com
Patrick van der SmagtVolkswagen AGPotvrđena adresa e-pošte na tum.de
Justin BayerVolkswagen AGPotvrđena adresa e-pošte na volkswagen.de
Nutan ChenVolkswagen AG, Machine Learning Research LabPotvrđena adresa e-pošte na volkswagen.de
Maximilian SoelchMachine Learning Research Lab, Volkswagen AGPotvrđena adresa e-pošte na argmax.ai
Philip Becker-EhmckVolkswagen AGPotvrđena adresa e-pošte na argmax.ai
Maximilian KarlResearch Scientist, Machine Learning Research Lab, Volkswagen GroupPotvrđena adresa e-pošte na in.tum.de
Alexandros ParaschosVolkswagen AGPotvrđena adresa e-pošte na argmax.ai
Alexej KlushynAirbus Group AI ResearchPotvrđena adresa e-pošte na airbus.com
Alexandre GramfortMetaPotvrđena adresa e-pošte na meta.com
Mehdi ChertiPostdoc at Forschungszentrum JülichPotvrđena adresa e-pošte na fz-juelich.de
Akin KazakciAssociate Professor, Mines ParistechPotvrđena adresa e-pošte na mines-paristech.fr

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Djalel Benbouzid

Machine Learnig Research Lab, Volkswagen Group

Potvrđena adresa e-pošte na argmax.ai - Početna stranica

Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
MultiBoost: a multi-purpose boosting package D Benbouzid, R Busa-Fekete, N Casagrande, FD Collin, B Kégl The Journal of Machine Learning Research 13, 549-553, 2012	113	2012
Fast classification using sparse decision DAGs D Benbouzid, R Busa-Fekete, B Kégl arXiv preprint arXiv:1206.6387, 2012	79	2012
Unsupervised real-time control through variational empowerment M Karl, P Becker-Ehmck, M Soelch, D Benbouzid, P van der Smagt, ... The International Symposium of Robotics Research, 158-173, 2019	53	2019
Active learning based on data uncertainty and model sensitivity N Chen, A Klushyn, A Paraschos, D Benbouzid, P Van der Smagt 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	16	2018
The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows B Kégl, A Boucaud, M Cherti, A Kazakci, A Gramfort, G Lemaitre, ...	8	2018
MDDAG: learning deep decision DAGs in a Markov decision process setup D Benbouzid, R Busa-Fekete, B Kégl 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), 2011	4	2011
Sequential prediction for budgeted learning: Application to trigger design D Benbouzid Paris 11, 2014	2	2014
AI Regulation Is (not) All You Need L Lucaj, P van der Smagt, D Benbouzid Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	1	2023
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context D Burema, N Debowski-Weimann, A von Janowski, J Grabowski, M Maftei, ... Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 705-714, 2023		2023
Flat Latent Manifolds for Human-machine Co-creation of Music N Chen, D Benbouzid, F Ferroni, M Nitschke, L Pinna, P van der Smagt arXiv preprint arXiv:2202.12243, 2022		2022
Unsupervised Real-Time Control Through Variational Empowerment D Benbouzid, P van der Smagt, J Bayer Robotics Research: The 19th International Symposium ISRR 20, 158, 2022		2022
Flat latent manifolds for music improvisation between human and machine. N Chen, D Benbouzid, F Ferroni, M Nitschke, L Pinna, P van der Smagt CoRR, 2022		2022

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