reproducibility

Hello! I’m Joanna! I have been contributing to the ML in Detecting and Addressing System Drift project under the mentorship of Ray Andrew Sinurat and Sandeep Madireddy. My project aims to design a pipeline to evaluate drift detection algorithms on system traces.

Hello everyone! I’m Triveni, a Master’s student in Computer Science at Northern Illinois University (NIU). I’m excited to share my progress on the OSRE 2024 project Categorize Differences in Reproduced Visualizations focusing on data visualization reproducibility.

Background Hello there! I’m William and this is my final blog for my proposal “Developing A Comprehensive Pipeline to Benchmark Drift Management Approaches” under the mentorship of Ray Andrew Sinurat and Sandeep Madireddy under the LAST project.

Hello! In this blog post, I will explore a common issue in machine learning called data leakage, using an example from the paper: Benedetti, P., Perri, D., Simonetti, M., Gervasi, O.

The project aims to develop a service that facilitates the automated replication of COMPSs experiments within the Chameleon infrastructure

Introduction Hello everyone! I’m Ashwin Bardhwaj, an undergraduate student studying at UC Berkeley. As part of Micro Architecture Santa Cruz (MASC) my proposal under the mentorship of Jose Renau and Sakshi Garg looks to create a suite of benchmark programs for HDEval.

Hi, I am Mrigank. I am one of the Summer of Reproducibility fellows for 2024, and I will be working on deriving realistic performance benchmarks for Python interpreters with Ben Greenman from the University of Utah.

Hi, I am Mrigank. As a Summer of Reproducibility 2024 fellow, I am working on deriving realistic performance benchmarks for Python interpreters with Ben Greenman from the University of Utah. In this post, I will provide an update on the progress we have made so far.

Background Hello, I’m Lihaowen (Jayce) Zhu, a 2024 SoR contributor for the FEP-bench project, under the mentorship of Yuyang (Roy) Huang. Before we started, let’s recap the goal of our project and our progress until mid term.

Introduction Hello! I hope you’re enjoying the summer as much as I am. I’m excited to join the SOR community as a 2024 contributor. My name is Xikang Song, and I’m thrilled to collaborate with mentors Ruidan Li and Kexin Pei on the FSA-Benchmark project.