Wiki Spatiotemp

Réunions à venir

Quand / où	Qui	Quoi
2023-03-13	Ibrahim Laiche	Description du travail fait à partir d'APHYNITY sur un pendule réel
2023-03-20	---	---
2023-03-27	---	---
2023-04-03	---	---
2023-04-10??(lundi de Pâques)	---	---

Réunions passées

Quand / où	Qui	Quoi
2023-03-06	Yuan	Clifford Neural Layers for PDE Modeling
2023-02-27	Leon	Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
2023-02-20	Lise	Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
2023-02-13	Thomas	Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
2023-02-06	Florent	AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions (slides)
2023-01-30	Yuan	Presentation Neural ODE (slides)
2023-01-23	Armand	Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
2023-01-16	Matthieu	Transform Once: Efficient Operator Learning in Frequency Domain
2022-12-12	Léon	HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
2022-12-05	Louis	Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
2022-11-18	Léon	Scale-invariant Learning by Physics Inversion
2022-10-24	Yuan & Matthieu	Continuous PDE Dynamics Forecasting with Implicit Neural Representations
2021-03-24	Emmanuel	Implicit neural representations ......
2021-03-24	Sohrab	Fourier Neural Operator for Parametric Partial Differential Operations
2021-02-24	Léon	Dissecting Neural ODEs (slides); Learning Stable Deep Dynamics Models (slides)
2021-02-24	Yuan	Neural Controlled Differential Equations for Irregular Time Series
2021-01-27	Jérémie & Jean-Yves	PDE-Driven Spatiotemporal Disentanglement
2021-01-27	Jérémie	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
2020-05-11	Ibrahim	B-Spline CNNs on Lie groups; Convolutional Conditional Neural Processes
2020-05-04	Tout le monde	Revue de papiers d'ICLR 2020
2020-03-11	Jean-Yves	Scalable Gradients for Stochastic Differential Equations
2020-03-11	Jérémie	How to train your neural ODE
2020-02-26	Emmanuel	Normalizing Kalman Filters
2020-02-19	Tout le monde	Tour de table sur le travail de chacun
2019-12-17	Tout le monde	Discussion sur la rétrospective de Neural ODE à NeurIPS 2019
2019-12-04	Jean-Yves	Learning Generative Models across Incomparable Spaces
2019-11-27	Yuan	Hamiltonian Generative Networks; Symplectic Recurrent Neural Networks
2019-11-27	Jean-Yves	Scaling Autoregressive Video Models
2019-11-13	Tout le monde	Tour de table sur le travail de chacun
2019-11-06	Tout le monde	Tour de table sur le travail de chacun
2019-10-23	Jérémie	Reparameterization scheme for spatial feature selection
2019-10-16	Jean-Yves & Edouard	Stochastic Latent Residual Video Prediction
2019-07-17	Ibrahim	Transport Optimal
2019-07-10	Mickael	MONet: Unsupervised Scene Decomposition and Representation; Multi-Object Representation Learning with Iterative Variational Inference
2019-07-03	Jean-Yves	Disentangling Disentanglement in Variational Autoencoders
2019-06-26	Yuan	Unsupervised Video Inpainting
2019-06-19	Yuan & Jérémie	Hamiltonian Neural Networks
2019-06-19	Jean-Yves	Invertible Residual Networks; Neural ODEs and Stochastic Video Prediction
2019-06-05	Jérémie	ML for Climate reconstruction And Feature Acquisition
2019-05-29	Jérémie	Learning deep representations by mutual information estimation and maximization
2019-05-29	Jean-Yves	Do Deep Generative Models Know What They Don't Know?; Time-Agnostic Prediction: Predicting Predictable Video Frames
2019-05-29	Emmanuel	Gradient descent aligns the layers of deep linear networks; Deep learning generalizes because the parameter-function map is biased towards simple functions
2019-04-17	Jean-Yves	Augmented Neural ODEs
2019-04-10	Tout le monde	Tour de table sur le travail de chacun
2019-03-27	Jean-Yves	Video Pixel Networks; Stochastic Video Generation with a Learned Prior; Stochastic Adversarial Video Prediction
2019-03-20	Jérémie	Machine Learning for PDE and Physics
2019-03-13	Emmanuel	Fixup Initialization: Residual Learning Without Normalization
2019-03-13	Yuan	MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
2019-03-13	Mathieu	How Does Batch Normalization Help Optimization?
2019-03-06	Jean-Yves	Neural ODE et génération stochastique de vidéos
2019-03-01	Emmanuel, Ibrahim	Transport optimal et transfert d'images
2019-02-22	Tout le monde	Prise de contact, démarrage des réunions