3 papers
cs.LG2026
SWING: Unlocking Implicit Graph Representations for Graph Random Features
Alessandro Manenti, Avinava Dubey, Arijit Sehanobish +2
We propose SWING: Space Walks for Implicit Network Graphs, a new class of algorithms for computations involving Graph Random Features on graphs given by implicit representations (i…
cs.LG2025
Beyond Softmax: A Natural Parameterization for Categorical Random Variables
Alessandro Manenti, Cesare Alippi
Latent categorical variables are frequently found in deep learning architectures. They can model actions in discrete reinforcement-learning environments, represent categories in la…
cs.CL2023
A deep Natural Language Inference predictor without language-specific training data
Lorenzo Corradi, Alessandro Manenti, Francesca Del Bonifro +2
In this paper we present a technique of NLP to tackle the problem of inference relation (NLI) between pairs of sentences in a target language of choice without a language-specific…