Jérémy Charlier

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Tensor Decomposition

Generative Model

Top Venues

Canadian Conference on AI

MIDAS@PKDD/ECML

Publications

Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, Vladimir Makarenkov
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review. Briefings Bioinform. 24 (3) (2023)
Jérémy Charlier, Robert Nadon, Vladimir Makarenkov
Accurate deep learning off-target prediction with novel sgRNA-DNA sequence encoding in CRISPR-Cas9 gene editing. Bioinform. 37 (16) (2021)
Jérémy Charlier, Vladimir Makarenkov
XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking. CoRR (2020)
Jérémy Charlier, Vladimir Makarenkov
VecHGrad for Solving Accurately Tensor Decomposition. Canadian Conference on AI (2020)
Jérémy Charlier, François Petit, Gaston Ormazabal, Radu State, Jean Hilger
PHom-WAE: Persitent Homology for Wasserstein Auto-Encoders. CoRR (2019)
Jérémy Charlier, Radu State, Jean Hilger
Non-Negative PARATUCK2 Tensor Decomposition Combined to LSTM Network For Smart Contracts Profiling. CoRR (2019)
Jérémy Charlier, Radu State, Jean Hilger
Modeling Smart Contracts Activities: A Tensor Based Approach. CoRR (2019)
Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger
MQLV: Modified Q-Learning for Vasicek Model. CoRR (2019)
Jérémy Charlier, Eric Falk, Radu State, Jean Hilger
User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition. CoRR (2019)
Jérémy Charlier, Radu State, Jean Hilger
PHom-GeM: Persistent Homology for Generative Models. SDS (2019)
Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger
VecHGrad for solving accurately complex tensor decomposition. CoRR (2019)
Jérémy Charlier, Radu State, Jean Hilger
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. CoRR (2019)
Jérémy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne
SynGAN: Towards Generating Synthetic Network Attacks using GANs. CoRR (2019)
Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning. MIDAS@PKDD (2019)
Jérémy Charlier, Radu State, Jean Hilger
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. Canadian Conference on AI (2019)
Jérémy Charlier
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking. CoRR (2019)
Jérémy Charlier, Radu State, Jean Hilger
PHom-GeM: Persistent Homology for Generative Models. CoRR (2019)
Jérémy Charlier, Eric Falk, Radu State, Jean Hilger
User-Device Authentication in Mobile Banking Using APHEN for Paratuck2 Tensor Decomposition. ICDM Workshops (2018)
Jérémy Charlier, Radu State, Jean Hilger
Non-negative Paratuck2 Tensor Decomposition Combined to LSTM Network for Smart Contracts Profiling. BigComp (2018)
Jérémy Charlier, Sofiane Lagraa, Radu State, Jérôme François
Profiling Smart Contracts Interactions Tensor Decomposition and Graph Mining. MIDAS@PKDD/ECML (2017)
Eric Falk, Jérémy Charlier, Radu State
Your Moves, Your Device: Establishing Behavior Profiles Using Tensors. ADMA (2017)