Karolis Martinkus
9 papers · 2021–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🏆 Grand Slam
🌈
Renaissance Researcher
(7)
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(5)
Architectures
(5)
Optimization & Theory · Machine Learning
(4)
Models
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Core Methods
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Keywords
graph neural network
(4)
graph generation
(2)
message passing
(2)
embedding space
(1)
contextual representation
(1)
generative adversarial network
(1)
spectral analysis
(1)
n-body problems
(1)
protein structure
(1)
diffusion model
(1)
state-of-the-art performance
(1)
decision tree
(1)
molecular generation
(1)
denoising diffusion
(1)
physics-informed model
(1)
discrete optimization
(1)
antibody design
(1)
equivariant neural network
(1)
graph classification
(1)
graph laplacian
(1)
Papers
Efficient and Scalable Graph Generation through Iterative Local Expansion
ICLR 2024
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
ICLR 2024
AbDiffuser: full-atom generation of in-vitro functioning antibodies
NeurIPS 2023
Agent-based Graph Neural Networks
ICLR 2023
Automating Rigid Origami Design
IJCAI 2023
On Isotropy Calibration of Transformer Models
ACL 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
ICML 2022
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
NeurIPS 2021
Scalable Graph Networks for Particle Simulations
AAAI 2021