Vage Egiazarian
10 papers · 2019–2025 · 5 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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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (14) π Triple Crown
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Core Methods
(3)
Models
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Core AI
(2)
Resources & Methods
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Analysis
(1)
Methods
(1)
Keywords
optimal transport
(4)
generative model
(3)
neural network
(2)
quantization
(2)
transformer
(1)
graph representation
(1)
continuous control
(1)
convolutional neural network
(1)
variational autoencoder
(1)
weighted graph
(1)
metric space
(1)
cycle consistency
(1)
edge computing
(1)
perceptual metric
(1)
wasserstein barycenter
(1)
transport map
(1)
compression rate
(1)
weight compression
(1)
3d surface reconstruction
(1)
key-value caching
(1)
Papers
Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models
ICML 2025
Extreme Compression of Large Language Models via Additive Quantization
ICML 2024
Neural Optimal Transport with General Cost Functionals
ICLR 2024
Rethinking Optimal Transport in Offline Reinforcement Learning
NeurIPS 2024
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
ICLR 2024
Wasserstein Iterative Networks for Barycenter Estimation
NeurIPS 2022
Wasserstein-2 Generative Networks
ICLR 2021
Deep Vectorization of Technical Drawings
ECCV 2020
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
NeurIPS 2019
Perceptual Deep Depth Super-Resolution
ICCV 2019