Jayneel Parekh

Postdoc @ ISIR, Sorbonne Université


Hi there! I have started a Postdoc in MLIA team at ISIR, Sorbonne Univerity with Prof. Matthieu Cord. Previously, I was a PhD student at LTCI, Telecom Paris under the supervision of Prof. Florence d’Alche and Prof. Pavlo Mozharovskyi, on the topic of interpretability of neural networks, applied on image or audio data. I completed my bachelors and masters in Electrical Engineering at IIT Bombay (specialization: Communication and Signal Processing). For my master’s thesis, I worked with Prof. Preeti Rao and Prof. Yi-Hsuan Yang on Speech-to-Singing conversion.

Broadly, I am interested by machine learning applications on audio and visual domains. Barring research, I enjoy playing/involving myself with chess, squash, calisthenics or following sports (primarily football, boxing, cricket).


Dec 1, 2023 Top Reviewer at NeurIPS 2023!
Sep 5, 2023 Talk at Deezer Research Paris.
Jul 26, 2023 Organizing a ‘Robustness, Fairness and Explainability’ workshop at ELLIS Unconference 2023 Paris with Quentin Bouniot.
Jul 7, 2023 Successfully defended my thesis!
Dec 4, 2022 Presented L2I at NeurIPS@Paris and NeurIPS 2022 in-person conference (New Orleans). Both amazing events!
Sep 15, 2022 Paper: “Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF” (L2I) accepted at NeurIPS 2022!
Aug 15, 2022 Attended Oxford Machine Learning Summer School (ML x Finance track, in-person).
Jun 14, 2022 Attended + Presented FLINT at Franco-German workshop on AI at INRIA Rocquencourt (in “Trustworthy and Explainable Artificial Intelligence” session).
May 10, 2022 Talk at DataCraft Paris
Jan 5, 2022 Talk for FLINT at IBM Research, Saclay. Presented by my advisor (I was down with fever!)
Nov 5, 2021 Talk (for FLINT) at IDEMIA Paris.
Oct 12, 2021 Paper: “A Framework to Learn with Interpretation” (FLINT) accepted at NeurIPS 2021!
Aug 23, 2021 Attended MLSS-2021 (Virtually)