Hashemi, Milad
- Learning Performance-Improving Code Edits
2023/02/15 by Alexander Shypula, Shypula, Alexander, Aman Madaan +14 · 26 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Performance (cs.PF) #Software Engineering (cs.SE) #Software Engineering Research #Software System Performance and Reliability
- Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
2021/02/12 by Yujun Yan, Milad Hashemi, Yan, Yujun +7 · 14 citations
Computer Science · Physics and Astronomy · Psychology · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health via Writing
- Learning Memory Access Patterns
2018/03/06 by Hashemi, Milad, Swersky, Kevin, Smith, Jamie A. +5 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
2021/02/08 by Grathwohl, Will, Swersky, Kevin, Hashemi, Milad +2 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- No MCMC for me: Amortized sampling for fast and stable training of energy-based models
2020/10/08 by Grathwohl, Will, Kelly, Jacob, Hashemi, Milad +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers
2025/03/19 by Hannah Lin, Martin Maas, Lin, Hannah +31 · 1 voice · 4 citations
Computer Science · #FOS: Computer and information sciences #Software Engineering (cs.SE) #cs.SE
- An Imitation Learning Approach for Cache Replacement
2020/06/29 by Evan Liu, Liu, Evan Zheran, Milad Hashemi +7 · 3 citations
Computer Science · #Advanced Neural Network Applications #Cloud Computing and Resource Management #Data Stream Mining Techniques #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Data-Driven Offline Optimization For Architecting Hardware Accelerators
2021/10/20 by Aviral Kumar, Amir Yazdanbakhsh, Kumar, Aviral +7 · 2 citations
Computer Science · Decision Sciences · #Advanced Data Storage Technologies #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Simulation Techniques and Applications
- Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
2022/11/01 by Mahdavi, Sadegh, Swersky, Kevin, Kipf, Thomas +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learned Hardware/Software Co-Design of Neural Accelerators
2020/10/05 by Shi, Zhan, Sakhuja, Chirag, Hashemi, Milad +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Apollo: Transferable Architecture Exploration
2021/02/02 by Yazdanbakhsh, Amir, Angermueller, Christof, Akin, Berkin +7 · 1 citation
#FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
- Learning to Improve Code Efficiency
2022/08/09 by Binghong Chen, Chen, Binghong, Daniel Tarlow +13 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Software Engineering (cs.SE) #Software Engineering Research
- CUF: Continuous Upsampling Filters
2022/10/13 by Cristina Nader Vasconcelos, Vasconcelos, Cristina, Cengiz Öztireli +9 · 1 citation
Computer Science · Earth and Planetary Sciences · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Seismic Imaging and Inversion Techniques
- SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
2025/11/08 by Ma, Jeffrey Jian, Hashemi, Milad, Yazdanbakhsh, Amir +5 · 2 citations
Computer Science · Decision Sciences · #Software System Performance and Reliability #Scientific Computing and Data Management #Software Engineering Research
- Neural Execution Engines: Learning to Execute Subroutines
2020/06/15 by Yujun Yan, Kevin Swersky, Yan, Yujun +7 · 1 citation
Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification