Andrey Gromov
6 papers · 2023–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(18)
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Optimization & Theory · Machine Learning
(3)
Techniques
(3)
Learning Types · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Keywords
large language model
(2)
in-context learning
(1)
out-of-distribution generalization
(1)
gaussian process
(1)
convolutional network
(1)
parameter-efficient fine-tuning
(1)
weight decay
(1)
training dynamics
(1)
attention head
(1)
straight-through estimator
(1)
residual connection
(1)
skill composition
(1)
modular arithmetic
(1)
layer normalization
(1)
proximal stochastic gradient
(1)
neural network initialization
(1)
quantization-aware training
(1)
architecture search
(1)
layer pruning
(1)
knowledge retrieval
(1)
Papers
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
ACL 2026
PARQ: Piecewise-Affine Regularized Quantization
ICML 2025
The Unreasonable Ineffectiveness of the Deeper Layers
ICLR 2025
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
NeurIPS 2024
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
ICLR 2024
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications
NeurIPS 2023