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Karolis Martinkus

Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing

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Oct 08, 2024
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Efficient and Scalable Graph Generation through Iterative Local Expansion

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Dec 14, 2023
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AbDiffuser: Full-Atom Generation of In-Vitro Functioning Antibodies

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Jul 28, 2023
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Discovering Graph Generation Algorithms

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Apr 25, 2023
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Automating Rigid Origami Design

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Nov 20, 2022
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Diffusion Models for Graphs Benefit From Discrete State Spaces

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Oct 04, 2022
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Agent-based Graph Neural Networks

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Jun 22, 2022
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DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees

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May 26, 2022
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SPECTRE : Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators

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Apr 04, 2022
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DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks

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Nov 11, 2021
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