Search Results for author: Jean Hilger

Found 6 papers, 2 papers with code

Know Your Model (KYM): Increasing Trust in AI and Machine Learning

no code implementations31 May 2021 Mary Roszel, Robert Norvill, Jean Hilger, Radu State

The widespread utilization of AI systems has drawn attention to the potential impacts of such systems on society.

BIG-bench Machine Learning

MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning

no code implementations24 May 2019 Jeremy Charlier, Gaston Ormazabal, Radu State, Jean Hilger

We propose MQLV, Modified Q-Learner for the Vasicek model, a new reinforcement learning approach that determines the optimal policy of money management based on the aggregated financial transactions of the clients.

Decision Making Management +5

Visualization of AE's Training on Credit Card Transactions with Persistent Homology

no code implementations24 May 2019 Jeremy Charlier, Francois Petit, Gaston Ormazabal, Radu State, Jean Hilger

PHom-WAE minimizes the Wasserstein distance between the true distribution and the reconstructed distribution and uses persistent homology, the study of the topological features of a space at different spatial resolutions, to compare the nature of the latent manifold and the reconstructed distribution.

Decoder Dimensionality Reduction

PHom-GeM: Persistent Homology for Generative Models

1 code implementation23 May 2019 Jeremy Charlier, Radu State, Jean Hilger

PHom-GeM minimizes an objective function between the true and the reconstructed distributions and uses persistent homology, the study of the topological features of a space at different spatial resolutions, to compare the nature of the true and the generated distributions.

Generative Adversarial Network

User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition

no code implementations23 May 2019 Jeremy Charlier, Eric Falk, Radu State, Jean Hilger

Nonetheless, the retail banks are looking to leverage the user-device authentication on the mobile banking applications to enhance the personal financial advertisement.

Tensor Decomposition

Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment

1 code implementation23 May 2019 Jeremy Charlier, Radu State, Jean Hilger

The digital revolution of the banking system with evolving European regulations have pushed the major banking actors to innovate by a newly use of their clients' digital information.

Tensor Decomposition Time Series +1

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