Gennady Pekhimenko
8 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
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Research topics
Deep Learning
(6)
Machine Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory · Machine Learning
(4)
Core AI
(3)
Techniques
(3)
Natural Language Processing
(2)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Resources & Methods
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types
(1)
Keywords
memory optimization
(2)
neural network training
(1)
distributed optimization
(1)
prompt engineering
(1)
distributed learning
(1)
model pretraining
(1)
uncertainty quantification
(1)
model parallelism
(1)
communication efficiency
(1)
partial differential equation
(1)
efficient training
(1)
transformer training
(1)
performance model
(1)
tensor compilation
(1)
kernel generation
(1)
tile abstraction
(1)
search space
(1)
fourier neural operator
(1)
approximation bound
(1)
stochastic gradient descent
(1)
Papers
BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting
CVPR 2026
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
ACL 2025
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
ICML 2025
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR 2024
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning
OSDI 2022
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction
NeurIPS 2022
Distributed Deep Learning In Open Collaborations
NeurIPS 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
NeurIPS 2021