A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. - Azadeh Sadat Mozafari; Hugo Siqueira Gomes; Steeven Janny; Christian Gagné 001 (CoRR, 2018)

Deep KKL: Data-driven Output Prediction for Non-Linear Systems. - Steeven Janny; Vincent Andrieu; Madiha Nadri; Christian Wolf 001 (CDC, 2021)

Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach. - Steeven Janny; Quentin Possamaï; Laurent Bako; Christian Wolf 001; Madiha Nadri (CDC, 2022)

Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. - Steeven Janny; Fabien Baradel; Natalia Neverova; Madiha Nadri; Greg Mori; Christian Wolf 001 (ICLR, 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 001 (CoRR, 2022)

Learning to estimate UAV created turbulence from scene structure observed by onboard cameras. - Quentin Possamaï; Steeven Janny; Madiha Nadri; Laurent Bako; Christian Wolf 001 (CoRR, 2022)

EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. - Steeven Janny; Aurélien Béneteau; Madiha Nadri; Julie Digne; Nicolas Thome; Christian Wolf 001 (ICLR, 2023)

Space and time continuous physics simulation from partial observations. - Steeven Janny; Madiha Nadri; Julie Digne; Christian Wolf 001 (ICLR, 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 (2024)

Reasoning in Visual Navigation of End-to-end Trained Agents: A Dynamical Systems Approach. - Steeven Janny; Hervé Poirier; Leonid Antsfeld; Guillaume Bono; Gianluca Monaci; Boris Chidlovskii; Francesco Giuliari; Alessio Del Bue; Christian Wolf 001 (CVPR, 2025)