Sypetkowski, Maciej

1. On the Scalability of GNNs for Molecular Graphs
   2024/04/17 by Maciej Sypetkowski, Frederik Wenkel, Sypetkowski, Maciej +11 · 1 voice · 6 citations
   Chemistry · Computer Science · Materials Science · #Advanced Graph Neural Networks #Asymmetric Hydrogenation and Catalysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #cs.LG
2. RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods
   2023/01/13 by Sypetkowski, Maciej, Rezanejad, Morteza, Saberian, Saber +9 · 5 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
3. Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
   2024/04/16 by Oren Kraus, Kian Kenyon-Dean, Kraus, Oren +31 · 7 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
   2023/10/06 by Beaini, Dominique, Huang, Shenyang, Cunha, Joao Alex +32 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Masked Autoencoders are Scalable Learners of Cellular Morphology
   2023/09/27 by Kraus, Oren, Kenyon-Dean, Kian, Saberian, Saber +13 · 1 citation
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
   2024/09/10 by Philip Fradkin, Puria Azadi, Fradkin, Philip +11 · 3 voices
   #q-bio.QM #cs.LG