Milad Hashemi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2012–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ASPLOS | Limoncello: Prefetchers for Scale. | Akanksha Jain, Hannah Lin, Carlos Villavieja, Baris Kasikci, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan |
| 2024 | ICLR | Learning Performance-Improving Code Edits. | Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh |
| 2023 | CVPR | CUF: Continuous Upsampling Filters. | Cristina Nader Vasconcelos, A. Cengiz ztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi |
| 2022 | ICDM | Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. | Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra |
| 2022 | ICLR | Data-Driven Offline Optimization for Architecting Hardware Accelerators. | Aviral Kumar, Amir Yazdanbakhsh, Milad Hashemi, Kevin Swersky, Sergey Levine |
| 2021 | ASPLOS | A hierarchical neural model of data prefetching. | Zhan Shi, Akanksha Jain, Kevin Swersky, Milad Hashemi, Parthasarathy Ranganathan, Calvin Lin |
| 2021 | ICLR | No MCMC for me: Amortized sampling for fast and stable training of energy-based models. | Will Sussman Grathwohl, Jacob Jin Kelly, Milad Hashemi, Mohammad Norouzi, Kevin Swersky, David Duvenaud |
| 2021 | ICML | Oops I Took A Gradient: Scalable Sampling for Discrete Distributions. | Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris J. Maddison |
| 2020 | ICLR | Learning Execution through Neural Code fusion. | Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi |
| 2020 | ICML | An Imitation Learning Approach for Cache Replacement. | Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn |
| 2018 | ICML | Learning Memory Access Patterns. | Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan |
| 2016 | ISCA | Accelerating Dependent Cache Misses with an Enhanced Memory Controller. | Milad Hashemi, Khubaib, Eiman Ebrahimi, Onur Mutlu, Yale N. Patt |
| 2016 | MICRO | Continuous runahead: Transparent hardware acceleration for memory intensive workloads. | Milad Hashemi, Onur Mutlu, Yale N. Patt |
| 2015 | MICRO | Filtered runahead execution with a runahead buffer. | Milad Hashemi, Yale N. Patt |
| 2012 | MICRO | MorphCore: An Energy-Efficient Microarchitecture for High Performance ILP and High Throughput TLP. | Khubaib, M. Aater Suleman, Milad Hashemi, Chris Wilkerson, Yale N. Patt |