Milad Hashemi

Research Scientist, Google

Joined

July 2019

Names

Milad Hashemi

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

DBLP

Career & Education History

Research Scientist

Google (google.com)

2016 – Present

PhD student

University of Texas, Austin (utexas.edu)

2011 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Yale Patt

2011 – 2016

Expertise

No areas of expertise listed

Publications

SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
Jeffrey Jian Ma, Milad Hashemi, Amir Yazdanbakhsh, Kevin Swersky, Ofir Press, Enhui Li, Vijay Janapa Reddi, Parthasarathy Ranganathan
- Submitted to ICLR 2026
- Readers: Everyone
Learning Performance-Improving Code Edits
Aman Madaan, Alexander G Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh
- 03 Oct 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Learning Performance-Improving Code Edits
Alexander G Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
- ICLR 2024 spotlight
- Readers: Everyone
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao
- Accepted by TMLR
- Readers: Everyone
Learning to Improve Code Efficiency
Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Heiber, Ashish V Naik, Milad Hashemi, Parthasarathy Ranganathan
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Data-Driven Offline Optimization for Architecting Hardware Accelerators
Aviral Kumar, Amir Yazdanbakhsh, Milad Hashemi, Kevin Swersky, Sergey Levine
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
Apollo: Transferable Architecture Exploration
Amir Yazdanbakhsh, Christof Angermueller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon
- 17 May 2021 (modified: 25 Apr 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris J. Maddison
- 2021 (modified: 27 Sept 2024)
- CoRR 2021
- Readers: Everyone
Apollo: Transferable Architecture Exploration
Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon
- 2021 (modified: 16 Nov 2023)
- CoRR 2021
- Readers: Everyone

View all 25 publications

Co-Authors

View all 62 co-authors