13 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Representing Tensors as Compositions for Efficient Computation on Sparse and Structured Data
Valérian Rey, Praneth Paruchuri
We propose a new mathematical formalism in which all kinds of tensors and of operations on those tensors are represented as simple function compositions. Tensors are functions from…
cs.LG2024★ 1 cited
Jacobian Descent for Multi-Objective Optimization
Pierre Quinton, Valérian Rey
Many optimization problems require balancing multiple conflicting objectives. To generalize gradient descent, which is limited to single-objective optimization, we introduce Jacobi…
cs.CR2021★ 13 cited
Federated Learning for Malware Detection in IoT Devices
Valerian Rey, Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán +2
This work investigates the possibilities enabled by federated learning concerning IoT malware detection and studies security issues inherent to this new learning paradigm. In this…