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Out-of-class novelty generation: an experimental foundation *

Mehdi Cherti , Balázs Kégl , Akin Osman Kazakçi
NIPS 2016 - Neural Information Processing Systems, Dec 2016, Barcelona, Spain
Communication dans un congrès hal-01427570v1

Spurious samples in deep generative models: bug or feature?

Balázs Kégl , Mehdi Cherti , Akin Osman Kazakci
2018
Pré-publication, Document de travail hal-02072325v1
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OUT-OF-CLASS NOVELTY GENERATION: AN EXPERIMENTAL FOUNDATION

Mehdi Cherti , Balázs Kégl , Akin Osman Kazakçi
International Conference on Representation Learning, Apr 2017, Toulon, France
Communication dans un congrès hal-01773776v1
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DE NOVO DRUG DESIGN WITH DEEP GENERATIVE MODELS : AN EMPIRICAL STUDY

Mehdi Cherti , Balázs Kégl , Akin Osman Kazakçi
International Conference on Learning Representations, Apr 2017, Toulon, France
Communication dans un congrès hal-01773760v1

The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows

Balázs Kégl , Alexandre Boucaud , Mehdi Cherti , Akin Osman Kazakci , Alexandre Gramfort , et al.
International Conference On Machine Learning, Jul 2018, Stockholm, Sweden
Poster de conférence hal-02072341v1