Steeven Janny

According to our database, Steeven Janny authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Identification and Simulation of Physical Systems with Structured Deep Learning and Inductive Knowledge. (Identification et simulation des systèmes physiques par apprentissage profond structuré et connaissances inductives).

Steeven Janny

PhD thesis, 2024

Space and time continuous physics simulation from partial observations.

Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers.

Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to estimate UAV created turbulence from scene structure observed by onboard cameras.

Quentin Possamaï, Steeven Janny, Madiha Nadri, Laurent Bako, Christian Wolf

CoRR, 2022

MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements.

Quentin Possamaï, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako, Christian Wolf

CoRR, 2022

Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space.

Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach.

Steeven Janny, Quentin Possamaï, Laurent Bako, Christian Wolf, Madiha Nadri

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Deep KKL: Data-driven Output Prediction for Non-Linear Systems.

Steeven Janny, Vincent Andrieu, Madiha Nadri, Christian Wolf

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2018

A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks.

Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné

CoRR, 2018