96 citations · 152 across the 20 of their papers we have counts for
3 papers · 1 filter
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening
Martin Gonzalez, Hatem Hajri, Loic Cantat +1
We investigate the problems and challenges of evaluating the robustness of Differential Equation-based (DE) networks against synthetic distribution shifts. We propose a novel and s…
Riemannian data-dependent randomized smoothing for neural networks certification
Pol Labarbarie, Hatem Hajri, Marc Arnaudon
Certification of neural networks is an important and challenging problem that has been attracting the attention of the machine learning community since few years. In this paper, we…
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings
Martin Gonzalez, Thibault Defourneau, Hatem Hajri +1
In this paper we show that neural ODE analogs of recurrent (ODE-RNN) and Long Short-Term Memory (ODE-LSTM) networks can be algorithmically embeddeded into the class of polynomial s…