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Alexander Gepperth
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Documents
Identifiants chercheurs
- alexander-gepperth
- IdRef : 19465916X
Présentation
**Personal Information**
Family status: married, 2children
Nationality: German
**Experience in academia**
5/2011 – present Tenured professor at „École Nationale Supérieure de Techniques
Avancées“ (Palaiseau, France)
Assignments: Teaching, research, supervision of theses,
organization of the specialization subject „intelligent vehicles“
Research focus: large-scale learning in intelligent vehicles
**Industrial experience**
02/2008 – 5/2011 Premature tenure as „Senior Scientist“ at Honda Research
Institute Europe GmbH
10/2006 – 2/2008 Four-year contract as „Senior Scientist“ at Honda Research
Institute Europe GmbH, Offenbach am Main, Germany
Assignments: Basic research in machine learning for intelligent
vehicles, implementation of prototypes and demonstrations,
communication to management and academic community,
supervision of students
**PhD thesis**
11/2002 – 04/2006 at the university of Bochum, institute for neural computation
Subject: „Neural learning methods for visual object recognition“
Degree: Dr. rer. nat (grade: „very good“)
Assignments: research, teaching, participation in third-party funded projects (Honda Research Institute Europe GmbH, Robert Bosch KG , DFG Sonderforschungsbereich 475)
**Tertiary education**
10/1996 – 01/2002 Studies in physics at Ludwig-Maximilians-Universität Munich
Diploma thesis: „Non-BPS states in string theory” (grade: 1,7)
Degree: diploma (grade: „very good“)
**Alternate civil service (instead of army service)**
8/1995 - 10/1996 at the municipal hospital Pfaffenhofen/Ilm
**Secondary education**
6/1995 at Schyren-Gymnasium Pfaffenhofen/Ilm, grade: 1,8
**Skills**
Computers Programming: C/C++, CUDA, Python, Matlab
Web programming: HTML, CSS, PHP
Operating systems: Windows, Linux
Real-time middleware: ROS
Scientific standard tools: LaTeX, svn, git, doxygen, bash, eclipse, gnuplot, make, cmake, ...
Libraries: OpenCV, Qt, numpy/scipy, matplotlib/pylab
Languages German, Czech: mother tongues
English, French: fluent
Spanish: advanced level
Japanese:basic level
**Interests**
Tennis, volleyball, bodybuilding, Go, playing the violin, real-time strategy games (Starcraft)
**Personal Information**
Family status: married, 2children
Nationality: German
**Experience in academia**
5/2011 – present Tenured professor at „École Nationale Supérieure de Techniques
Avancées“ (Palaiseau, France)
Assignments: Teaching, research, supervision of theses,
organization of the specialization subject „intelligent vehicles“
Research focus: large-scale learning in intelligent vehicles
**Industrial experience**
02/2008 – 5/2011 Premature tenure as „Senior Scientist“ at Honda Research
Institute Europe GmbH
10/2006 – 2/2008 Four-year contract as „Senior Scientist“ at Honda Research
Institute Europe GmbH, Offenbach am Main, Germany
Assignments: Basic research in machine learning for intelligent
vehicles, implementation of prototypes and demonstrations,
communication to management and academic community,
supervision of students
**PhD thesis**
11/2002 – 04/2006 at the university of Bochum, institute for neural computation
Subject: „Neural learning methods for visual object recognition“
Degree: Dr. rer. nat (grade: „very good“)
Assignments: research, teaching, participation in third-party funded projects (Honda Research Institute Europe GmbH, Robert Bosch KG , DFG Sonderforschungsbereich 475)
**Tertiary education**
10/1996 – 01/2002 Studies in physics at Ludwig-Maximilians-Universität Munich
Diploma thesis: „Non-BPS states in string theory” (grade: 1,7)
Degree: diploma (grade: „very good“)
**Alternate civil service (instead of army service)**
8/1995 - 10/1996 at the municipal hospital Pfaffenhofen/Ilm
**Secondary education**
6/1995 at Schyren-Gymnasium Pfaffenhofen/Ilm, grade: 1,8
**Skills**
Computers Programming: C/C++, CUDA, Python, Matlab
Web programming: HTML, CSS, PHP
Operating systems: Windows, Linux
Real-time middleware: ROS
Scientific standard tools: LaTeX, svn, git, doxygen, bash, eclipse, gnuplot, make, cmake, ...
Libraries: OpenCV, Qt, numpy/scipy, matplotlib/pylab
Languages German, Czech: mother tongues
English, French: fluent
Spanish: advanced level
Japanese:basic level
**Interests**
Tennis, volleyball, bodybuilding, Go, playing the violin, real-time strategy games (Starcraft)
Publications
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Learning to be attractive: probabilistic computation with dynamic attractor networksInternal Conference on Development and LEarning (ICDL), 2016, Cergy-Pontoise, France
Communication dans un congrès
hal-01418141v1
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Using self-organizing maps for regression: the importance of the output functionEuropean Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium
Communication dans un congrès
hal-01251011v1
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Active learning of local predictable representations with artificial curiosityInternational Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), Aug 2015, Providence, United States
Communication dans un congrès
hal-01205619v1
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Resource-efficient incremental learning in very high dimensionsEuropean Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium
Communication dans un congrès
hal-01251015v1
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Learning of local predictable representations in partially learnable environmentsThe International Joint Conference on Neural Networks (IJCNN), Jul 2015, Killarney, Ireland
Communication dans un congrès
hal-01205611v1
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Biologically inspired incremental learning for high-dimensional spacesJoint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346155⟩
Communication dans un congrès
hal-01250961v1
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PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discriminationIJCNN - International Joint Conference on Neural Networks, Jul 2014, Pékin, China
Communication dans un congrès
hal-01061662v1
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Latency-Based Probabilistic Information Processing in Recurrent Neural HierarchiesInternational Conference on Artificial Neural Networks (ICANN), Sep 2014, Hamburg, Germany. pp.715 - 722, ⟨10.1007/978-3-319-11179-7_90⟩
Communication dans un congrès
hal-01098699v1
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Discrimination of visual pedestrians data by combining projection and prediction learningEuropean Symposium on artificial neural networks (ESANN), Apr 2014, Bruges, Belgium
Communication dans un congrès
hal-01061654v1
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Multimodal space representation driven by self-evaluation of predictabilityJoint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Oct 2014, Gênes, Italy
Communication dans un congrès
hal-01061668v1
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