Notice
Session 4: Poster Lightning Talks
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Descriptif
Talk 1 [00:00] NPF: orchestrate and reproduce network experiments. By Tom Barbette.
Presented by Tom Barbette, Assistant Professor.
Talk 2 [03:10] : From reproducible to reusable bioinformatics workflows. By George Marchment, Bryan Brancotte, Marie Schmit, Frédéric Lemoine and Sarah Cohen-Boulakia.
Presented by George Marchment, PhD Student.
Talk 3 [not in the video] : Scaffolding Reproducibility for the Machine Learning Classroom. By Mohamed Saeed and Fraida Fund.
Presented by Mohamed Saeed, PhD Student.
Talk 4 [05:17] : Social science webinar series on reproducibility and replications. By Jan H. Höffler, Gustavo A. Castillo Alvarez, Daniel Gotthardt, Diana Soeiro and Franziska Strunz.
Presented by Jan H. Höffler, Professor.
Talk 5 [08:17] : Reproducing Speech to Text Translation Results from two prominent foundation models: Whisper and SeamlessM4T. By Shrey Jasuja and Fraida Fund.
Presented by Shrey Jasuja, Graduate Research Assistant.
Thème
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Tutorial Track 1: Reproducible distributed environments with NixOS Compose
Presented by Quentin Guilloteau, Postdoctoral Fellow, Fernando Ayats Llamas, Research Engineer and Olivier Richard, Assistant Professor.
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Tutorial Track 1: Reproducibility of Scientific Results using E4S Containers
Presented by SHENDE, Sameer, Research Profesor.
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Tutorial Track2: Fostering Reproducibility By Integrating Large Language Model and Scholarly Knowl…
Presented by Hassan Hussein, PhD Student, Vindoh Ilangovan, Researcher and Kaouter Kebaili, PhD Student.
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Tutorial Track 3: Managing HPC Software Complexity with Spack
Presented by Massimiliano Culpo, Researcher.
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Tutorial Track 4: Practical strategies for teaching reproducibility
Presented by Fraida Fund, Research Assistant Professor, Sarah Cohen-Boulakia, Professor and Bogdan Alexandru Stoica, PhD Student.
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Keynote: Replicable empirical machine learning research
BoulesteixAnne-LaureIn the absence of mathematical theory addressing complex real-life settings beyond simplifying assumptions, the behavior and performance of machine learning methods often has to be addressed by
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Keynote: Reproducibility and replicability of computer simulations
HinsenKonradSince the early days of the reproducibility crisis, much progress has been made in understanding and improving computational reproducibility and replicability (R and R)...
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