Denis Kuznedelev
11 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 👑 Triple Crown 🗃️ Keyword Collector (52)
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The Questioner
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Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Application Areas
(6)
Core AI · Artificial Intelligence
(6)
Deep Learning
(5)
Optimization & Theory · Machine Learning
(4)
Optimization & Theory · Deep Learning
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Architectures
(2)
Core Methods
(2)
Resources & Methods
(2)
Computer Vision
(1)
Core AI · Computer Vision
(1)
Learning Types
(1)
Keywords
quantization
(3)
graph neural network
(3)
node classification
(3)
model compression
(3)
large language model
(2)
heterophilous graph
(2)
vision transformer
(1)
message passing
(1)
benchmark evaluation
(1)
neural network optimization
(1)
graph structure
(1)
vector quantization
(1)
second-order optimization
(1)
convergence rate
(1)
stochastic gradient descent
(1)
straight-through estimator
(1)
edge computing
(1)
transformer
(1)
distributional shift
(1)
momentum method
(1)
Papers
Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models
ICML 2025
EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
ICML 2025
Extreme Compression of Large Language Models via Additive Quantization
ICML 2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
NeurIPS 2024
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
ICLR 2024
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
NeurIPS 2024
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
ICLR 2023
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
ICLR 2023
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
NeurIPS 2023
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
NeurIPS 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
NeurIPS 2023