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MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.

W. Heyndrickx, L. Mervin, T. Morawietz, N. Sturm, L. Friedrich, A. Zalewski, A. Pentina, L. Humbeck, M. Oldenhof, R. Niwayama, P. Schmidtke, N. Fechner, J. Simm, A. Arany, N. Drizard, R. Jabal, A. Afanasyeva, R. Loeb, S. Verma, S. Harnqvist, M. Holmes, B. Pejo, M. Telenczuk, N. Holway, A. Dieckmann, N. Rieke, F. Zumsande, D. Clevert, M. Krug, C. Luscombe, D. Green, P. Ertl, P. Antal, D. Marcus, N. Huu, H. Fuji, S. Pickett, G. Ács, E. Boniface, B. Beck, Y. Sun, A. Gohier, F. Rippmann, O. Engkvist, A. Göller, Y. Moreau, M. Galtier, A. Schuffenhauer, and H. Ceulemans. J. Chem. Inf. Model., 64 (7): 2331-2344 (2024)

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Rep Martijn

Martijn Kos

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Martijn Griensven

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Industry-Scale Orchestrated Federated Learning for Drug Discovery.M. Oldenhof, G. Ács, B. Pejó, A. Schuffenhauer, N. Holway, N. Sturm, A. Dieckmann, O. Fortmeier, E. Boniface, C. Mayer and 37 other author(s). AAAI, page 15576-15584. AAAI Press, (2023)MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.W. Heyndrickx, L. Mervin, T. Morawietz, N. Sturm, L. Friedrich, A. Zalewski, A. Pentina, L. Humbeck, M. Oldenhof, R. Niwayama and 39 other author(s). J. Chem. Inf. Model., 64 (7): 2331-2344 (2024)ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning.M. Oldenhof, A. Arany, Y. Moreau, and J. Simm. CoRR, (2020)Industry-Scale Orchestrated Federated Learning for Drug Discovery.M. Oldenhof, G. Ács, B. Pejó, A. Schuffenhauer, N. Holway, N. Sturm, A. Dieckmann, O. Fortmeier, E. Boniface, C. Mayer and 35 other author(s). CoRR, (2022)Self-labeling of Fully Mediating Representations by Graph Alignment.M. Oldenhof, A. Arany, Y. Moreau, and J. Simm. BNAIC/BENELEARN, volume 1530 of Communications in Computer and Information Science, page 46-65. Springer, (2021)SparseChem: Fast and accurate machine learning model for small molecules.A. Arany, J. Simm, M. Oldenhof, and Y. Moreau. CoRR, (2022)Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection.M. Oldenhof, A. Arany, Y. Moreau, and E. Brouwer. ICLR, OpenReview.net, (2023)Atom-Level Optical Chemical Structure Recognition with Limited Supervision.M. Oldenhof, E. Brouwer, A. Arany, and Y. Moreau. CoRR, (2024)

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Disambiguation of "Oldenhof, Martijn"

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MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.

Please choose a person to relate this publication to

Rep Martijn

Martijn Kos

Martijn Gipmans

Martijn Rooker

Martijn Griensven

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Oldenhof, Martijn"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.

Please choose a person to relate this publication to

Rep Martijn

Martijn Kos

Martijn Gipmans

Martijn Rooker

Martijn Griensven

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.