3 papers
cs.LG2025
Generalization Bounds for Rank-sparse Neural Networks
Antoine Ledent, Rodrigo Alves, Yunwen Lei
It has been recently observed in much of the literature that neural networks exhibit a bottleneck rank property: for larger depths, the activation and weights of neural networks tr…
cs.LG2025
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
Antoine Ledent, Petr Kasalický, Rodrigo Alves +1
We introduce a new convolutional AutoEncoder architecture for user modelling and recommendation tasks with several improvements over the state of the art. Firstly, our model has th…
cs.LG2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Antoine Ledent, Peng Liu
Balancing predictive power and interpretability has long been a challenging research area, particularly in powerful yet complex models like neural networks, where nonlinearity obst…