Karolis Martinkus
9 papers · 2021–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Renaissance Researcher (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Grand Slam
Conferences
ICLR (3)
NIPS (2)
AAAI (1)
ACL (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(2)
graph laplacian
(1)
embedding space
(1)
graph generation
(1)
contextual representation
(1)
message passing
(1)
discrete optimization
(1)
n-body problems
(1)
spectral analysis
(1)
diffusion model
(1)
generative adversarial network
(1)
physics-informed model
(1)
molecular generation
(1)
antibody design
(1)
equivariant neural network
(1)
protein structure
(1)
physics simulation
(1)
particle simulation
(1)
task graph
(1)
energy conservation
(1)
Papers
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
ICLR 2024
Efficient and Scalable Graph Generation through Iterative Local Expansion
ICLR 2024
Agent-based Graph Neural Networks
ICLR 2023
Automating Rigid Origami Design
IJCAI 2023
AbDiffuser: full-atom generation of in-vitro functioning antibodies
NIPS 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
Scalable Graph Networks for Particle Simulations
AAAI 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
NIPS 2021