The MLPBOON Predicting Media Interestingness System for MediaEval 2016. - Jayneel Parekh; Sanjeel Parekh (MediaEval, 2016)

The IITB Predicting Media Interestingness System for MediaEval 2017. - Jayneel Parekh; Harshvardhan Tibrewal; Sanjeel Parekh (MediaEval, 2017)

Deep Pairwise Classification and Ranking for Predicting Media Interestingness. - Jayneel Parekh; Harshvardhan Tibrewal; Sanjeel Parekh (ICMR, 2018)

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 (NeHuAI@ECAI, 2020)

Speech-To-Singing Conversion in an Encoder-Decoder Framework. - Jayneel Parekh; Preeti Rao; Yi-Hsuan Yang (ICASSP, 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)

A Framework to Learn with Interpretation. - Jayneel Parekh; Pavlo Mozharovskyi; Florence d'Alché-Buc (NeurIPS, 2021)

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. - Jayneel Parekh; Sanjeel Parekh; Pavlo Mozharovskyi; Florence d'Alché-Buc; Gaël Richard (NeurIPS, 2022)

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 (2023)

A Concept-Based Explainability Framework for Large Multimodal Models. - Jayneel Parekh; Pegah Khayatan; Mustafa Shukor; Alasdair Newson; Matthieu Cord (NeurIPS, 2024)

One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability. - Gabriel Kasmi; Amandine Brunetto; Thomas Fel; Jayneel Parekh (CoRR, 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 (ICLR, 2025)

Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment. - Pegah Khayatan; Mustafa Shukor; Jayneel Parekh; Matthieu Cord (CoRR, 2025)

Learning to Steer: Input-dependent Steering for Multimodal LLMs. - Jayneel Parekh; Pegah Khayatan; Mustafa Shukor; Arnaud Dapogny; Alasdair Newson; Matthieu Cord (CoRR, 2025)