Jayneel Parekh

According to our database, Jayneel Parekh authored at least 12 papers between 2016 and 2024.

Collaborative distances:

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

2024

Tackling Interpretability in Audio Classification Networks With Non-negative Matrix Factorization.

Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models.

Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc

CoRR, 2024

A Concept-Based Explainability Framework for Large Multimodal Models.

Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord

CoRR, 2024

2023

Un cadre flexible pour l'apprentissage automatique interprétable: application à la classification d'images et d'audio. (A Flexible Framework for Interpretable Machine Learning: application to image and audio classification).

Jayneel Parekh

PhD thesis, 2023

2022

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF.

Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Framework to Learn with Interpretation.

Jayneel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach.

Valérie Beaudouin, Isabelle Bloch, David Bounie, Stéphan Clémençon, Florence d'Alché-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh

CoRR, 2020

Speech-To-Singing Conversion in an Encoder-Decoder Framework.

Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Identifying the "right" level of explanation in a given situation.

Valérie Beaudouin, Isabelle Bloch, David Bounie, Stéphan Clémençon, Florence d'Alché-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh

Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2018

Deep Pairwise Classification and Ranking for Predicting Media Interestingness.

Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2017

The IITB Predicting Media Interestingness System for MediaEval 2017.

Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

2016

The MLPBOON Predicting Media Interestingness System for MediaEval 2016.

Jayneel Parekh, Sanjeel Parekh

Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016