Milad Hashemi
10 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π₯ Mega-Team Β· Squad
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
π
Triple Crown
ποΈ
Keyword Collector
(62)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Architectures
(4)
Learning Types
(4)
Computer Science
(2)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Learning Paradigms
(2)
Models
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
large language model
(2)
energy-based model
(2)
imitation learning
(1)
embedding learning
(1)
metropolis-hastings sampling
(1)
attention mechanism
(1)
markov chain monte carlo
(1)
generative model
(1)
image super-resolution
(1)
mcmc sampling
(1)
program analysis
(1)
variational approximation
(1)
approximate sampling
(1)
gradient-based sampling
(1)
discrete distribution
(1)
policy learning
(1)
probabilistic model
(1)
recurrent neural network
(1)
entropy regularization
(1)
transfer learning
(1)
Papers
ECO: An AI-Driven Code Efficiency Optimizer for Warehouse Scale Computers (Operational Systems)
OSDI 2026
Learning Performance-Improving Code Edits
ICLR 2024
CUF: Continuous Upsampling Filters
CVPR 2023
Data-Driven Offline Optimization for Architecting Hardware Accelerators
ICLR 2022
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
ICLR 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
ICML 2021
An Imitation Learning Approach for Cache Replacement
ICML 2020
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
ICLR 2020
Neural Execution Engines: Learning to Execute Subroutines
NeurIPS 2020
Learning Memory Access Patterns
ICML 2018