Remy Sun

Remy Sun

Research scientist

Université Côte d'Azur / Inria / I3S

About me

I am a research scientist (Inria Starting Faculty Position) in the MAASAI team at Inria d’Université Côte-d’Azur since October 2024. My current research interests focus mostly on trajectory forecasting, online map acquisition, map representation, federated learning, knowledge injection in neural networks and deep learning for physics. I was previously a postdoctoral researcher in this same MAASAI team at Inria Sophia Antipolis (advised by Diane Lingrand and Frederic Precioso) working on the MultiTrans project. I previously defended my PhD in late 2022 on content combination strategies for image classification at Sorbonne University’s Machine Learning and Information Access (MLIA) team and Thales Land and Air Systems under the supervision of Matthieu Cord, Nicolas Thome, Clément Masson and Gilles Hénaff.

Before that, I worked as a research intern at Conservatoire National des Arts et Métiers on deep learning for EEG classification, at the Empirical Inference department of Tuebingen’s MPI for Intelligent Systems on causal analysis of deep generative models, at IST Austria on detection of OOD network predictions and at IRISA on deep representations for protein sequences.

Recent & Upcoming News

  • Call for internships I am currently looking for internship candidates to explore Physics Inspired Neural Network training (application deadline September 15)
  • September 17-18, 2025 I will be attending the Generative models and uncertainty quantification workshop in Copenhagen.
  • September 1, 2025 Elisa Ancarani (co-advised with Lucile Sassatelli) starts her PhD under a ED STIC scholarship. Congrats Elisa!
  • August 6, 2025 Our paper “Leveraging Concept Annotations for Trustworthy Multimodal Video Interpretation through Modality Specialization” was accepted for publication at the CogMAEC Workshop at ACM Multimedia 2025. Congrats Elisa!
  • August 1, 2025 Our paper “Re-examining concept-based explainable models for multimodal interpretative tasks” was accepted for publication at ACM Multimedia 2025 as an oral. Congrats Julie!
  • July 16, 2025 Our demo paper “CleverFish: An AI-driven Platform to Monitor and Explore Marine Ecological Resources” was accepted for publication at ECAI 2025. Congrats Kilian!

Contact information