Julien Audiffren

Brief Bio

I am currently (Since sept 2017) a Senior Researcher in the Exascale Infolab laboratory, at the University of Fribourg, in Switzerland. Previously, I was a postdoctoral researcher in the CMLA, a laboratory of Ens Paris Saclay.

Research Interests

Multi-armed bandits; Inverse Reinforcement Learning; Machine Learning for Medical Data; Kernel Theory.

Publications

1. Ioannis Bargiotas, Julien Audiffren, Nicolas Vayatis, Pierre-Paul Vidal, Stephane Buffat, Alain P Yelnik, and Damien Ricard. “On the Importance of Local Dynamics in Statokinesigram: A Multivariate Approach for Postural Control Evaluation in Elderly.” PLOS ONE 13, no. 2 (2018): e0192868. Bibtex

   On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly

   Ioannis Bargiotas, Julien Audiffren, Nicolas Vayatis, Pierre-Paul Vidal, Stephane Buffat, Alain P Yelnik, and Damien Ricard. “On the Importance of Local Dynamics in Statokinesigram: A Multivariate Approach for Postural Control Evaluation in Elderly.” PLOS ONE 13, no. 2 (2018): e0192868.

   @article{bargiotas2018importance,
     title = {On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly},
     author = {Bargiotas, Ioannis and Audiffren, Julien and Vayatis, Nicolas and Vidal, Pierre-Paul and Buffat, Stephane and Yelnik, Alain P and Ricard, Damien},
     journal = {PLOS ONE},
     volume = {13},
     number = {2},
     pages = {e0192868},
     year = {2018},
     publisher = {Public Library of Science}
   }
   

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2. Julien Audiffren, and Hachem Kadri. “m-Power Regularized Least Squares Regression.” In Neural Networks (IJCNN), 2017 International Joint Conference On, 1080–86. IEEE, 2017. Bibtex

   m-Power regularized least squares regression

   Julien Audiffren, and Hachem Kadri. “m-Power Regularized Least Squares Regression.” In Neural Networks (IJCNN), 2017 International Joint Conference On, 1080–86. IEEE, 2017.

   @inproceedings{audiffren2017m,
     title = {m-Power regularized least squares regression},
     author = {Audiffren, Julien and Kadri, Hachem},
     booktitle = {Neural Networks (IJCNN), 2017 International Joint Conference on},
     pages = {1080--1086},
     year = {2017},
     organization = {IEEE}
   }
   

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3. Julien Audiffren, and Liva Ralaivola. “Bandits Dueling on Partially Ordered Sets.” In Advances in Neural Information Processing Systems, 2126–35, 2017. Bibtex

   Bandits Dueling on Partially Ordered Sets

   Julien Audiffren, and Liva Ralaivola. “Bandits Dueling on Partially Ordered Sets.” In Advances in Neural Information Processing Systems, 2126–35, 2017.

   @inproceedings{audiffren2017bandits,
     title = {Bandits Dueling on Partially Ordered Sets},
     author = {Audiffren, Julien and Ralaivola, Liva},
     booktitle = {Advances in Neural Information Processing Systems},
     pages = {2126--2135},
     year = {2017}
   }
   

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4. Julien Audiffren, and Emile Contal. “Preprocessing the Nintendo Wii Board Signal to Derive More Accurate Descriptors of Statokinesigrams.” Sensors 16, no. 8 (2016): 1208. Bibtex

   Preprocessing the Nintendo Wii board signal to derive more accurate descriptors of statokinesigrams

   Julien Audiffren, and Emile Contal. “Preprocessing the Nintendo Wii Board Signal to Derive More Accurate Descriptors of Statokinesigrams.” Sensors 16, no. 8 (2016): 1208.

   @article{audiffren2016preprocessing,
     title = {Preprocessing the Nintendo Wii board signal to derive more accurate descriptors of statokinesigrams},
     author = {Audiffren, Julien and Contal, Emile},
     journal = {Sensors},
     volume = {16},
     number = {8},
     pages = {1208},
     year = {2016},
     publisher = {Multidisciplinary Digital Publishing Institute}
   }
   

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5. Thomas Moreau, and Julien Audiffren. “Post Training in Deep Learning with Last Kernel.” ArXiv Preprint ArXiv:1611.04499, 2016. Bibtex

   Post Training in Deep Learning with Last Kernel

   Thomas Moreau, and Julien Audiffren. “Post Training in Deep Learning with Last Kernel.” ArXiv Preprint ArXiv:1611.04499, 2016.

   @article{moreau2016post,
     title = {Post Training in Deep Learning with Last Kernel},
     author = {Moreau, Thomas and Audiffren, Julien},
     journal = {arXiv preprint arXiv:1611.04499},
     year = {2016}
   }
   

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6. Julien Audiffren, Ioannis Bargiotas, Nicolas Vayatis, Pierre-Paul Vidal, and Damien Ricard. “A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers.” PLoS One 11, no. 12 (2016): e0167456. Bibtex

   A non linear scoring approach for evaluating balance: classification of elderly as fallers and non-fallers

   Julien Audiffren, Ioannis Bargiotas, Nicolas Vayatis, Pierre-Paul Vidal, and Damien Ricard. “A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers.” PLoS One 11, no. 12 (2016): e0167456.

   @article{audiffren2016non,
     title = {A non linear scoring approach for evaluating balance: classification of elderly as fallers and non-fallers},
     author = {Audiffren, Julien and Bargiotas, Ioannis and Vayatis, Nicolas and Vidal, Pierre-Paul and Ricard, Damien},
     journal = {PLoS one},
     volume = {11},
     number = {12},
     pages = {e0167456},
     year = {2016},
     publisher = {Public Library of Science}
   }
   

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7. Julien Audiffren, and Hachem Kadri. “Online Learning with Operator-Valued Kernels.” In ESANN, 2015. Bibtex

   Online Learning with Operator-valued Kernels

   Julien Audiffren, and Hachem Kadri. “Online Learning with Operator-Valued Kernels.” In ESANN, 2015.

   @inproceedings{audiffren2015online,
     title = {Online Learning with Operator-valued Kernels},
     author = {Audiffren, Julien and Kadri, Hachem},
     booktitle = {ESANN},
     year = {2015}
   }
   

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8. Julien Audiffren, Michal Valko, Alessandro Lazaric, and Mohammad Ghavamzadeh. “Maximum Entropy Semi-Supervised Inverse Reinforcement Learning..” In IJCAI, 3315–21, 2015. Bibtex

   Maximum Entropy Semi-Supervised Inverse Reinforcement Learning.

   Julien Audiffren, Michal Valko, Alessandro Lazaric, and Mohammad Ghavamzadeh. “Maximum Entropy Semi-Supervised Inverse Reinforcement Learning..” In IJCAI, 3315–21, 2015.

   @inproceedings{audiffren2015maximum,
     title = {Maximum Entropy Semi-Supervised Inverse Reinforcement Learning.},
     author = {Audiffren, Julien and Valko, Michal and Lazaric, Alessandro and Ghavamzadeh, Mohammad},
     booktitle = {IJCAI},
     pages = {3315--3321},
     year = {2015}
   }
   

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9. Julien Audiffren, and Liva Ralaivola. “Cornering Stationary and Restless Mixing Bandits with Remix-UCB.” In NIPS, 2015. Bibtex

   Cornering Stationary and Restless Mixing Bandits with Remix-UCB

   Julien Audiffren, and Liva Ralaivola. “Cornering Stationary and Restless Mixing Bandits with Remix-UCB.” In NIPS, 2015.

   @inproceedings{audiffren2015cornering,
     title = {Cornering Stationary and Restless Mixing Bandits with Remix-UCB},
     author = {Audiffren, Julien and Ralaivola, Liva},
     booktitle = {NIPS},
     year = {2015}
   }
   

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10. Hachem Kadri, Emmanuel DUFLOS, philippe preux, stephane canu, Alain Rakotomamonjy, and Julien Audiffren. “Operator-Valued Kernels for Learning from Functional Response Data.” JMLR, 2015. Bibtex

    Operator-valued Kernels for Learning from Functional Response Data

    Hachem Kadri, Emmanuel DUFLOS, philippe preux, stephane canu, Alain Rakotomamonjy, and Julien Audiffren. “Operator-Valued Kernels for Learning from Functional Response Data.” JMLR, 2015.

    @article{kadri2015operator,
      title = {Operator-valued Kernels for Learning from Functional Response Data},
      author = {Kadri, Hachem and DUFLOS, Emmanuel and preux, philippe and stephane canu and Rakotomamonjy, Alain and Audiffren, Julien},
      journal = {JMLR},
      year = {2015}
    }
    

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11. J Audiffren, R Barrois-Müller, C Provost, É Chiarovano, L Oudre, T Moreau, C Truong, et al. “Évaluation De l’Équilibre Et Prédiction Des Risques De Chutes En Utilisant Une Wii Board Balance.” Neurophysiologie Clinique/Clinical Neurophysiology 4, no. 45 (2015): 403. Bibtex

    Évaluation de l’équilibre et prédiction des risques de chutes en utilisant une Wii board balance

    J Audiffren, R Barrois-Müller, C Provost, É Chiarovano, L Oudre, T Moreau, C Truong, et al. “Évaluation De l’Équilibre Et Prédiction Des Risques De Chutes En Utilisant Une Wii Board Balance.” Neurophysiologie Clinique/Clinical Neurophysiology 4, no. 45 (2015): 403.

    @article{audiffren2015evaluation,
      title = {{\'E}valuation de l’{\'e}quilibre et pr{\'e}diction des risques de chutes en utilisant une Wii board balance},
      author = {Audiffren, J and Barrois-M{\"u}ller, R and Provost, C and Chiarovano, {\'E} and Oudre, L and Moreau, T and Truong, C and Yelnik, A and Vayatis, N and Vidal, PP and others},
      journal = {Neurophysiologie Clinique/Clinical Neurophysiology},
      volume = {4},
      number = {45},
      pages = {403},
      year = {2015},
      publisher = {Elsevier Masson}
    }
    

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12. Julien Audiffren, and Etienne Pardoux. “Muller’s Ratchet Clicks in Finite Time.” Stochastic Processes and Their Applications 123, no. 6 (2013): 2370–97. Bibtex

    Muller’s ratchet clicks in finite time

    Julien Audiffren, and Etienne Pardoux. “Muller’s Ratchet Clicks in Finite Time.” Stochastic Processes and Their Applications 123, no. 6 (2013): 2370–97.

    @article{audiffren2013muller,
      title = {Muller’s ratchet clicks in finite time},
      author = {Audiffren, Julien and Pardoux, Etienne},
      journal = {Stochastic Processes and their Applications},
      volume = {123},
      number = {6},
      pages = {2370--2397},
      year = {2013},
      publisher = {North-Holland}
    }
    

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13. Julien Audiffren, and Hachem Kadri. “Stability of Multi-Task Kernel Regression Algorithms.” In ACML, 2013. Bibtex

    Stability of multi-task kernel regression algorithms

    Julien Audiffren, and Hachem Kadri. “Stability of Multi-Task Kernel Regression Algorithms.” In ACML, 2013.

    @inproceedings{audiffren2013stability,
      title = {Stability of multi-task kernel regression algorithms},
      author = {Audiffren, Julien and Kadri, Hachem},
      booktitle = {ACML},
      year = {2013}
    }
    

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14. Julien Audiffren, and Hachem Kadri. “Online Learning with Multiple Operator-Valued Kernels.” ArXiv Preprint ArXiv:1311.0222, 2013. Bibtex

    Online learning with multiple operator-valued kernels

    Julien Audiffren, and Hachem Kadri. “Online Learning with Multiple Operator-Valued Kernels.” ArXiv Preprint ArXiv:1311.0222, 2013.

    @article{audiffren2013online,
      title = {Online learning with multiple operator-valued kernels},
      author = {Audiffren, Julien and Kadri, Hachem},
      journal = {arXiv preprint arXiv:1311.0222},
      year = {2013}
    }
    

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15. Julien Audiffren. “Equivalence of the Fleming-Viot and Look-down Models of Muller’s Ratchet,” 2012. Bibtex

    Equivalence of the Fleming-Viot and Look-down models of Muller’s ratchet

    Julien Audiffren. “Equivalence of the Fleming-Viot and Look-down Models of Muller’s Ratchet,” 2012.

    @article{audiffren2012equivalence,
      title = {Equivalence of the Fleming-Viot and Look-down models of Muller's ratchet},
      author = {Audiffren, Julien},
      year = {2012}
    }
    

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16. Pierre Humbert, Julien Audiffren, Clément Dubost, and Laurent Oudre. “Learning from an Expert,” n.d. Bibtex

    Learning from an expert

    Pierre Humbert, Julien Audiffren, Clément Dubost, and Laurent Oudre. “Learning from an Expert,” n.d.

    @article{humbertlearning,
      title = {Learning from an expert},
      author = {Humbert, Pierre and Audiffren, Julien and Dubost, Cl{\'e}ment and Oudre, Laurent}
    }
    

    ×