Given Talks, Posters and Teaching material.
All the links related to oral presentations. In particular, teaching, talks and posters.
Talks
Non exhaustive list of given talks and posters:
- Living Planet Symposium 2025, June, oral presentation ISRIN: Ice Sheet Reconstruction with Implicit Neural representation.
- European Geoscience Union 2025, April, Temporal Evolution of the Petermann Glacier Surface Elevation with Implicit Neural Representation in High Spatiotemporal Resolution using CryoSat-2 Data.
- Invited presenter at ESA’s new HPC opening ceremony in March 2025, the event hosted numerous VIPs from within ESA and outside. I presented an application use case in the climate change field, highlighting the computational needs for the EOP-S directorate. slides.
- ESA Digital Twin Earth Components: Open Science Meeting, February 2025, Encoding the spatiotemporal evolution of the Petermann Glacier Elevation Surface from CryoSat-2 Altimeter Data using implicit Neural Representation
- Accepted paper at WACV 2024 4-8 January in Hawai. Video presentation and poster presentation.
- Invited speaker at the Workshop on Machine Learning Applied to LiDAR Data for Cultural Heritage by the Centre for Cultural Heritage Technology (CCHT_Venice) organised by Dr. Marco Fiorucci, December 6th 2023. slides
- Internal RIKEN AIP & PRAIRIE workshop, presentation of the paper Implicit Neural Representation for Change Detection with poster on the 20 and 21st of March.
- Talk at the Mini-workshop at RIKEN AIP organized by Prof. Makoto Yamada, Scale dependant convolution for nuclei encoding in histopathology images on July 26th. slides.
- Talk at RIKEN AIP, Predicting from very large images: Application to treatment response in triple-negative breast cancer in November 2020, slides.
- Introduction to machine learning and image analysis, presentation to high school students at Lycée Les Feuillades, during la semaine de la science, presentation given in english with slides in french, April 2020.
- PhD defence, slides
- Invited speaker at an internal workshop on Deep learning at the Center of Mathematical Morphology lab, June 2019: slides. slides
- Assistant teacher at the In-depth Tutorial with Practical Session at DS3 Data Science Summer School, August 2018: slides.
- Invited speaker at the Young Statisticians and Probabilists in Paris for the 2018 session in January: slides. General talk on the application of neural network for the segmentation of nuclei.
- Invited speaker at the 4th Mini-Symposium on Bioimage Informatics, Rennes, June 27, 2017: slides.
- Reproducible research: your project as a journey. Brief introduction to git, jupyter, docker, and the necessity of reproducible research in bioinformatics. Workshop for the U900 retreat, April 2017. The slides are hosted on my colleagues webpage and the notebook can be found here.
- Conference talk at International Symposium on Biomedical Imaging (ISBI’17), Melbourne, Australia, by Peter Naylor, Marick Laé, Fabien Reyal and Thomas Walter, April 2017: slides and paper.
- Invited speaker at an internal seminar on Deep learning at the Center of Mathematical Morphology lab, January 2017: slides.
Posters
- REO (Representation Learning for Earth Observation) workshop at Eurips 2025, December, Altimeter and velocity data fusion for enhanced spatiotemporal resolution of the Ice Sheet elevation poster presentation.
- Poster presentation at EGU 2025, Temporal Evolution of the Petermann Glacier Surface Elevation with Implicit Neural Representation in High Spatiotemporal Resolution using CryoSat-2 Data poster.
- Poster presentation at ESA Digital Twin Earth Components 2025 workshop poster.
- Accepted paper at BiDS 2023 and poster presentation 6 to 9th of November 2023.
- Conference poster at AISTATS 2022, 25th International Conference on Artificial Intelligence and Statistics, by Benjamin Poignard, Peter Naylor , Hector Climente-González and Makoto Yamada: poster and paper.
- Conference poster at International Symposium on Biomedical Imaging (ISBI’19), Venice, Italy, by Peter Naylor, Joseph Boyd, Marick Laé, Fabien Reyal and Thomas Walter, April 2019: poster, slides and paper
- Best poster award at DS3 Data Science Summer School, August 2017: poster.
- Poster session at Machine Learning Summer School in Arequipa, Peru in 2016: poster.
Teaching
- Deep Learning For image Analysis at Mines Paristech (21-11-2018).
- In-depth Tutorial with Pratical Session at DS3 (30-08-2018).
- Large Scale Machine learning course at Mines Paristech (10-04-2018).
- Introduction to machine learning course at Central Supelec (28-12-2017).
- Bio-informatics course in Centrale Supelec (26-05-2016).
- C++ at ENSAE (01-10-2015).
- Statistic course given at University Paris-Sorbonne, Paris 4 (15-06-2015).
