Michael Kuchnik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta. | Gang Liao, Hongsen Qin, Ying Wang, Alicia Golden, Michael Kuchnik, Yavuz Yetim, Ruichao Xiao, Jia Jiunn Ang, Chunli Fu, Yihan He, Samuel Hsia, Zewei Jiang, Roman Levenstein, Dianshi Li, Liyuan Li, Ajit Mathews, Varna Puvvada, Feng Shi, Nathan Yan, Xiayu Yu, Uladzimir Pashkevich, Matt Steiner, Carole-Jean Wu, Gaoxiang Liu |
| 2025 | EMNLP | Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls. | Feiyang Kang, Newsha Ardalani, Michael Kuchnik, Youssef Emad, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-wen Li, Ramya Raghavendra, Ruoxi Jia, Carole-Jean Wu |
| 2025 | HPCA | Revisiting Reliability in Large-Scale Machine Learning Research Clusters. | Apostolos Kokolis, Michael Kuchnik, John Hoffman, Adithya Kumar, Parth Malani, Faye Ma, Zachary DeVito, Shubho Sengupta, Kalyan Saladi, Carole-Jean Wu |
| 2019 | ICLR | Efficient Augmentation via Data Subsampling. | Michael Kuchnik, Virginia Smith |
| 2019 | SOSP | File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution. | Abutalib Aghayev, Sage A. Weil, Michael Kuchnik, Mark Nelson, Gregory R. Ganger, George Amvrosiadis |