107 citations · 122 across the 7 of their papers we have counts for
5 papers · 1 filter
Learning Minimally Rigid Graphs with High Realization Counts
Oleksandr Slyvka, Jan Rubeš, Rodrigo Alves +1
For minimally rigid graphs, the same edge-length data can admit multiple realizations (up to translations and rotations). Finding graphs with exceptionally many realizations is an…
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…
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…
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings
Antoine Ledent, Rodrigo Alves, Yunwen Lei +2
We study inductive matrix completion (matrix completion with side information) under an i.i.d. subgaussian noise assumption at a low noise regime, with uniform sampling of the entr…
Orthogonal Inductive Matrix Completion
Antoine Ledent, Rodrigo Alves, Marius Kloft
We propose orthogonal inductive matrix completion (OMIC), an interpretable approach to matrix completion based on a sum of multiple orthonormal side information terms, together wit…