Florian Mannel — accepted AI-conference papers

2022

An Iterative Quantum Approach for Transformation Estimation From Point Sets

Natacha Kuete Meli, Florian Mannel, Jan Lellmann

CVPR 2022poster

We propose an iterative method for estimating rigid transformations from point sets using adiabatic quantum computation. Compared to existing quantum approaches, our method relies on an adaptive scheme to solve the problem to high precision, and does not suffer from inconsistent rotation matrices. E…

Cited by 22 PDF ↗Scholar ↗

2022

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models

Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau

ICLR 2022spotlight

In recent years, implicit deep learning has emerged as a method to increase the depth of deep neural networks. While their training is memory-efficient, they are still significantly slower to train than their explicit counterparts. In Deep Equilibrium Models~(DEQs), the training is performed as a bi…

Cited by 35 Source ↗PDF ↗Scholar ↗