54 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di TorinoIT7 papers
- Tallinn University of TechnologyEE3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Laboratoire Interactions, Dynamiques et LasersFR2 papers
- Université Paris-SaclayFR2 papers
- CEA Paris-SaclayFR1 paper
- CEA Paris-Saclay - Etablissement de SaclayFR1 paper
- Institut d’Optique Graduate SchoolFR1 paper
- Institut National de Physique Nucléaire et de Physique des ParticulesFR1 paper
- IRIS Instruments (France)FR1 paper
- Laboratoire Charles FabryFR1 paper
3 papers · 1 filter
Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects
Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2
Rapidly shrinking technology node and voltage scaling increase the susceptibility of Soft Errors in digital circuits. Soft Errors are radiation-induced effects while the radiation…
The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications
Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2
As an alternative to traditional fault injection-based methodologies and to explore the applicability of modern machine learning algorithms in the field of reliability engineering,…
Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors
Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2
The paper is proposing a methodology for modeling a gate-level netlist using a Graph Convolutional Network (GCN). The model predicts the overall functional de-rating factors of seq…