-
École Polytechnique
- Paris, France
- guillaumesalhagalvan.com
- @gsalhagalvan
- in/guillaumesalhagalvan
- @guillaumesalhagalvan.com
Stars
Code for reproducting experiments of the PISA paper published at RecSys 2024
Latxa: An Open Language Model and Evaluation Suite for Basque
Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.
Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. Sguerra, and R. Hennequin
Code to reproduce the experiments presented in the article "Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge" (EMNLP 2022)
This plugin displays your tex source in a textarea so plugins like grammarly can check it.
Repository for the IEEE/ACM TASLP 2023 Paper "Zero-Note Samba: Self-Supervised Beat Tracking".
Projet réalisé dans le cadre du recrutement au master jeux et médias interactifs numérique (Jmin) 2022.
A library for efficient similarity search and clustering of dense vectors.
Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran
A simple and elegant Jekyll theme for an academic personal homepage
Data Science Summer School tutorial on Bayesian methods
Python code to reproduce the experiments presented in the article Modeling the Music Genre Perception across Language-Bound Cultures, presented at the EMNLP 2020 conference.
Python code to reproduce the experiments presented in the paper Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation (ISMIR 2020).
Source code from our RecSys 2020 paper: "Making neural network interpretable with attribution: application to implicit signals prediction" (D. Afchar, R. Hennequin)
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Presentation of a new type of k-means using the Kullback divergence as a distortion measure, with application to digital images. Joint work with Olivier Catoni.
Information fragmentation and Syntax analysis on digital images. The directory is organised as an R package using Rcpp. Joint work with Olivier Catoni.
Vigil, the eternal morally vigilant programming language
Graph Neural Network Library for PyTorch
Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)
Web interface application to visualize multilingual music genre embeddings and generated cross-lingual music genre annotations for Wikipedia music entities (artists, bands, albums, tracks).