Rémi Genet – Research & Teaching
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  • Research
    • Working Papers
    • Conferences & Posters
    • Co-authors
Categories
All (12)
Adam (1)
Deep Learning (5)
Econometric (1)
GPU (1)
KAN (4)
Keras (2)
Linear Model (1)
Machine Learning (6)
Mixtures of Experts (1)
Optimization (1)
Path Signature (1)
Recurrent Neural Networks (1)
Signature Methods (1)
Time Series (7)
Transformers (1)
VWAP Execution (1)

Research

Author

Remi Genet

Published

2025-02-24

Research

Working Papers

Deep Learning for VWAP Execution in Crypto Markets: Beyond the Volume Curve

R Genet

Publication: arXiv preprint arXiv:2502.13722

Date: 2025-02-19

PDF | GitHub | Categories: VWAP Execution, Deep Learning, Time Series

STAN: Smooth Transition Autoregressive Networks

H Inzirillo, R Genet

Publication: arXiv preprint arXiv:2501.18699

Date: 2025-01-30

PDF | Categories: Deep Learning, Econometric, Keras, Time Series

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

R Genet, H Inzirillo

Publication: arXiv preprint arXiv:2501.08455

Date: 2025-01-14

PDF | GitHub | Categories: Path Signature, Deep Learning, Recurrent Neural Networks, Keras, GPU

CaAdam: Improving Adam optimizer using connection aware methods

R Genet, H Inzirillo

Publication: arXiv preprint arXiv:2410.24216

Date: 2024-10-31

PDF | GitHub | Categories: Machine Learning, Optimization, Adam, Deep Learning

A Temporal Linear Network for Time Series Forecasting

R Genet, H Inzirillo

Publication: arXiv preprint arXiv:2410.21448

Date: 2024-10-28

PDF | GitHub | Categories: Machine Learning, Time Series, Linear Model, Deep Learning

A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts

H Inzirillo, R Genet

Publication: arXiv preprint arXiv:2409.15161

Date: 2024-09-23

PDF | GitHub | Categories: Machine Learning, Time Series, Mixtures of Experts, KAN

SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series

H Inzirillo, R Genet

Publication: arXiv preprint arXiv:2406.17890

Date: 2024-06-25

PDF | GitHub | Categories: Machine Learning, Time Series, Signature Methods, KAN

A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting

R Genet, H Inzirillo

Publication: arXiv preprint arXiv:2406.02486

Date: 2024-06-04

PDF | GitHub | Categories: Machine Learning, Time Series, Transformers, KAN

Tkan: Temporal kolmogorov-arnold networks

R Genet, H Inzirillo

Publication: arXiv preprint arXiv:2405.07344

Date: 2024-05-12

PDF | GitHub | Categories: Machine Learning, Time Series, KAN

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Conferences & Posters

Poster Session: Deep Learning for VWAP Execution

Authors: Genet R., Riva F.

Conference: 16th Annual Hedge Fund Research Conference, Paris, France

Date: 2025-01-01

PDF

Time Series Analysis with Signature-Weighted Kolmogorov-Arnold Networks

Authors: Rémi Genet

Conference: Turing Institute: Bridging Rough Paths and Deep Learning: New Frontiers

Date: 2024-01-01

PDF | Video

Kolmogorov-Arnold Networks For Time Series Forecasting

Authors: Rémi Genet, Hugo Inzirillo

Conference: 3e édition des Dauphine Digital Days

Date: 2024-01-01

PDF

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Co-authors

  • Hugo Inzirillo - CREST, Institut Polytechnique de Paris
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Rémi Genet – Quantitative Researcher & Lecturer.
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