Christophe

zuko has been downloaded 501.5k times. Normalizing flows in PyTorch See daily PyPI downloads, version splits, and 5-year history on pepy.tech.

Bayesian filtering is a well-known problem that aims to estimate plausible states of a dynamical system from observations. Among existing approaches to solve this problem, particle filters are theoret...

Contribute to glouppe/miniature development by creating an account on GitHub.

Code for the publication "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation". - montefiore-sail/appa

ALT: a man wearing a white shirt and tie smiles in front of a window

The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...

Driven by steady progress in deep generative modeling, simulation-based inference (SBI) has emerged as the workhorse for inferring the parameters of stochastic simulators. However, recent work has dem...

code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching" - facebookresearch/adjoint_sampling

CausalFlows: A library for Causal Normalizing Flows in Pytorch - adrianjav/causal-flows

We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...

A clean and fast implementation of SOAP in PyTorch - savon.py

A minimal poster template in Typst. Contribute to francois-rozet/postr development by creating an account on GitHub.