2 papers
cs.LG2021
Conditional Neural Relational Inference for Interacting Systems
Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand +1
In this work, we want to learn to model the dynamics of similar yet distinct groups of interacting objects. These groups follow some common physical laws that exhibit specificities…
cs.LG2019
Learning by stochastic serializations
Pablo Strasser, Stephane Armand, Stephane Marchand-Maillet +1
Complex structures are typical in machine learning. Tailoring learning algorithms for every structure requires an effort that may be saved by defining a generic learning procedure…