Jayneel Parekh

PhD candidate @ Telecom Paris, IP Paris


Hi there! I am a PhD student in machine learning at Telecom Paris since September 2019, under the supervision of Prof. Florence d’Alche and Prof. Pavlo Mozharovskyi. I am currently working on interpretability of neural networks, focusing more on models applied on image or audio data. Before this, I completed my bachelors and masters in Electrical Engineering (Specialization: Communication and Signal Processing) at IIT Bombay. 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 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)