I am a software engineer with a keen interest in solving challenging problems. Among other things, I have worked on web development, computer vision research and solar irradiance forecasting from satellite images. My current interest is in building compilers and developer tools to enable scientists in their research.


My hobbies include open source contributions, outdoor sports and drawing.

Notes My resume 🎈 Notebooks

Publications

2026

  1. DJ4Oceananigans: A differentiable, Julia-based ocean general circulation model for gradient-based parameter calibration, online learning and variational data assimilation

    27/02/2026  ·  Joseph Kump, William Moses, Gregory Wagner, Dhruv Apte, Valentin Churavy, Christopher N Hill, Paul Berg, …

2025

  1. DJ4Earth: Differentiable, and Performance-portable Earth System Modeling via Program Transformations

    14/11/2025  ·  Journal of Advances in Modeling Earth Systems (JAMES)  ·  William S Moses, Gong Cheng, Valentin Churavy, Maximilian Gelbrecht, Milan Klöwer, Joseph Kump, Mathieu Morlighem, Sarah Williamson, Dhruv Apte, Paul Berg, …

  2. Multi-Prototype Hyperbolic Learning Guided by Class Hierarchy

    22/08/2025  ·  International Journal of Computer Vision (IJCV)  ·  Paul Berg, Léo Buecher, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty

2024

  1. Contributions to Representation Learning in Computer Vision and Remote Sensing

    13/12/2024  ·  Paul Berg

  2. Horospherical Learning with Smart Prototypes

    25/11/2024  ·  British Machine Vision Conference (BMVC)  ·  Paul Berg, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty

  3. Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning

    27/11/2024  ·  British Machine Vision Conference (BMVC)  ·  Hoang-Ân Lê, Paul Berg, Minh-Tan Pham

  4. Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks

    15/04/2024  ·  IEEE Geoscience and Remote Sensing Letters (GRSL)  ·  Paul Berg, Baki Uzun, Minh-Tan Pham, Nicolas Courty

2023

  1. Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification

    19/06/2023  ·  IGARSS  ·  Paul Berg, Minh-Tan Pham, Nicolas Courty

  2. Spherical Sliced Wasserstein

    01/05/2023  ·  International Conference on Learning Representations (ICLR)  ·  Clément Bonet, Paul Berg, Nicolas Courty, Lucas Drumetz, François Septier, Minh-Tan Pham

  3. Automatic part segmentation of facial anatomies using geometric deep learning toward a computer-aided facial rehabilitation

    01/03/2023  ·  Duc-Phong Nguyen, Paul Berg, Bilel Debbabi, Tan-Nhu Nguyen, Vi-Do Tran, Ho-Quang Nguyen, Stéphanie …

2022

  1. Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives

    17/08/2022  ·  Remote Sensing  ·  Paul Berg, Minh-Tan Pham, Nicolas Courty

  2. Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images

    12/01/2022  ·  Remote Sensing  ·  Paul Berg, Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre