HPDaSc Workshop on Data Driven Science
31 May, 2024
Campus Saint Priest, Montpellier
Program
10h-12h30
Patrick Valduriez (Inria and LNCC): Inria-Brasil: a partnership between LNCC and beyond
Fabio Porto (LNCC, Inria International Chair): Investigating Subseting for the Construction and Selection of ML Models
César Leblanc (Inria): Large language models for vegetation classification
Raphael Saldanha (Inria): Advances in climate features engineering and subsets modeling for Dengue forecasting
Rocio Zorilla (LNCC): A Data-driven approach for Geophysical inversion
14h-16h
Eduardo Ogasawara (CEFET-RJ): Data-centric AI Approaches for Time Series Event Detection
Rebecca Salles (Inria): Online Scalable Multivariate Anomaly Detection
Dennis Shasha (NYU): Jup2Kub: converter software that takes a Jupyter notebook input and outputs a distributed fault tolerant Kubernetes deployment
Benjamin Bourel (Inria): Knowledge transfer from species presence-only data to abundance predictions using deep neural networks
Fabio Porto and Patrick Valduriez: Discussion and Conclusion
Participants
Zenith: Reza Akbarinia, Benjamin Bourel, Guillaume Coulaud, Camille Garcin, Alexis Joly, Maxime Fromholtz, Benoit Lange, Théo Larcher, Cesar Leblanc, Tanguy Lefort, Pierre Leroy, Florent Masseglia, Esther Pacitti, Christophe Pradal, Rebbeca Sales, Raphael Saldanha, Patrick Valduriez, Jules Vandeputte
Brazil: Eduardo Ogasawara (CEFET-RJ), Fabio Porto (LNCC), Rocio Zorilla ((LNCC)
Other collaborators: Gabriel Krouk (CNRS & INRAE), Diego Marcos (Evergreen Inria team), Dennis Shasha (NYU)
