1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
Matthew J. Vowels, Mathieu Rochat, Sina Akbari
Artificial Neural Networks (ANNs), including fully-connected networks and transformers, are highly flexible and powerful function approximators, widely applied in fields like compu…
cs.CL2024★ 1 cited
psifx -- Psychological and Social Interactions Feature Extraction Package
Guillaume Rochette, Mathieu Rochat, Nizar Michaud +1
psifx is a plug-and-play multi-modal feature extraction toolkit, aiming to facilitate and democratize the use of state-of-the-art machine learning techniques for human sciences res…