Jochen TRIESCH

Institut Pascal - CNRS UMR 6602
Uni­ver­sité Clermont-Auvergne
4, avenue Blaise Pascal
63178 AUBIERE CEDEX
France

Pr. Jochen TRIESCH

Professor
COMSEE, ISPR

triesch@-Code to remove to avoid SPAM-fias.uni-frankfurt.de

Student :

Antony N’DRI

Conference papers

2022

ref_biblio
Arthur Aubret, Céline Teulière, Jochen Triesch. Toddler-inspired learning induces hierarchical object representations. IEEE ICDL - Sensorimotor Interaction, language, and Embodiement of Symbols (SMILES) workshop, Sep 2022, London, United Kingdom. ⟨hal-03838312⟩
Accès au texte intégral et bibtex
https://hal.science/hal-03838312/file/Smiles_workshop.pdf BibTex
ref_biblio
Arthur Aubret, Céline Teulière, Jochen Triesch. Toddler-inspired embodied vision for learning object representations. IEEE ICDL, Sep 2022, Londres, United Kingdom. ⟨hal-03838291⟩
Accès au texte intégral et bibtex
https://hal.science/hal-03838291/file/ICDL_2022.pdf BibTex

2021

ref_biblio
Thomas Barbier, Céline Teulière, Jochen Triesch. Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a spiking neural network. EEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2021, Virtual, France. ⟨10.1109/CVPRW53098.2021.00152⟩. ⟨hal-03614701⟩
Accès au texte intégral et bibtex
https://hal.science/hal-03614701/file/CVPR__Spike_timing_based_unsupervised_learning_of_orientation__disparity__and_motion_representations_in_a_spiking_neural_network.pdf BibTex

2017

ref_biblio
François de La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch. Apprentissage par renforcement profond de la fixation binoculaire en utilisant de la détection d'anomalies. ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France. ⟨hal-01866766⟩
Accès au texte intégral et bibtex
https://hal.science/hal-01866766/file/orasis2017_francois_delabourdonnaye.pdf BibTex

Poster communications

2022

ref_biblio
Arthur Aubret, Mathieu Lefort, Jochen Triesch, Laëtitia Matignon, Salima Hassas, et al.. Compressed information is all you need: unifying intrinsic motivations and representation learning. NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, 2022, New Orleans, United States. ⟨hal-04168147⟩
Accès au bibtex
BibTex