Yacouba Kaloga

According to our database, Yacouba Kaloga authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CLAP-Based Automatic Word Naming Recognition in Post-Stroke Aphasia.

Yacouba Kaloga, Marina Laganaro, Ina Kodrasi

CoRR, February, 2026

2025

Towards interpretable emotion recognition: Identifying key features with machine learning.

Yacouba Kaloga, Ina Kodrasi

CoRR, August, 2025

A Differentiable Alignment Framework for Sequence-to-Sequence Modeling via Optimal Transport.

Yacouba Kaloga, Shashi Kumar, Petr Motlícek, Ina Kodrasi

CoRR, February, 2025

Latent Space Factorization in LoRA.

Shashi Kumar, Yacouba Kaloga, John Mitros, Petr Motlícek, Ina Kodrasi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Graph Neural Networks for Parkinson's Disease Detection.

Shakeel A. Sheikh, Yacouba Kaloga, Md. Sahidullah, Ina Kodrasi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection.

Yacouba Kaloga, Shakeel A. Sheikh, Ina Kodrasi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Graph Neural Networks for Parkinsons Disease Detection.

Shakeel A. Sheikh, Yacouba Kaloga, Md. Sahidullah, Ina Kodrasi

CoRR, 2024

2022

A Simple Way to Learn Metrics Between Attributed Graphs.

Yacouba Kaloga, Pierre Borgnat, Amaury Habrard

Proceedings of the Learning on Graphs Conference, 2022

2021

Learning attributed graphs representations. (Apprentissage de représentations de graphes attribués).

Yacouba Kaloga

PhD thesis, 2021

Variational graph autoencoders for multiview canonical correlation analysis.

Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard

Signal Process., 2021

Multiview Variational Graph Autoencoders for Canonical Correlation Analysis.

Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening.

Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard

Algorithms, 2020

2019

Discrete Mumford-Shah on Graph for Mixing Matrix Estimation.

Yacouba Kaloga, Marion Foare, Nelly Pustelnik, Pablo Jensen

IEEE Signal Process. Lett., 2019