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30.14/100

前 24.3%

全站排名 #15,630

发表论文4 篇

平均评分6.0

年均产出2.0 篇/年

Karolis Martinkus

Researcher@Prescient Design / Genentech / Roche·瑞士·OpenReview

研究方向

deep learning · graph neural networks · generative models

Unified all-atom molecule generation with neural fields

NeurIPS 2025Poster

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

ICLR 2025Rejected

GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks

ICLR 2024Poster

Efficient and Scalable Graph Generation through Iterative Local Expansion

ICLR 2024Poster

合作者 (17)

Roger Wattenhofer

Andreas Bergmeister

Nathanaël Perraudin

Andrew Martin Watkins

Emily K. Makowski