Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Machine Learning in Drug Discovery.

G. Klambauer, S. Hochreiter, and M. Rarey. J. Chem. Inf. Model., 59 (3): 945-946 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Günter Klambauer

Günter Theißen

Multimerisierung und DNA-Bindung homöotischer Proteine der BlütenbildungR. Melzer. Uni Jena, (2009)

Günter Teupel

Günter Friedrich

Günter Rahn

Other publications of authors with the same name

Machine Learning in Drug Discovery.G. Klambauer, S. Hochreiter, and M. Rarey. J. Chem. Inf. Model., 59 (3): 945-946 (2019)Machine Learning in Drug Discovery.S. Hochreiter, G. Klambauer, and M. Rarey. J. Chem. Inf. Model., 58 (9): 1723-1724 (2018)Principled Weight Initialisation for Input-Convex Neural Networks.P. Hoedt, and G. Klambauer. CoRR, (2023)CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP.A. Fürst, E. Rumetshofer, J. Lehner, V. Tran, F. Tang, H. Ramsauer, D. Kreil, M. Kopp, G. Klambauer, A. Bitto and 1 other author(s). NeurIPS, (2022)The Promise of AI for DILI Prediction.A. Vall, Y. Sabnis, J. Shi, R. Class, S. Hochreiter, and G. Klambauer. Frontiers Artif. Intell., (2021)Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.M. Hofmarcher, E. Rumetshofer, D. Clevert, S. Hochreiter, and G. Klambauer. J. Chem. Inf. Model., 59 (3): 1163-1171 (2019)Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images.S. Kimeswenger, E. Rumetshofer, M. Hofmarcher, P. Tschandl, H. Kittler, S. Hochreiter, W. Hötzenecker, and G. Klambauer. CoRR, (2019)GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks.L. Schneckenreiter, R. Freinschlag, F. Sestak, J. Brandstetter, G. Klambauer, and A. Mayr. CoRR, (2024)Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks.M. Hofmarcher, A. Mayr, E. Rumetshofer, P. Ruch, P. Renz, J. Schimunek, P. Seidl, A. Vall, M. Widrich, S. Hochreiter and 1 other author(s). CoRR, (2020)Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery.K. Preuer, P. Renz, T. Unterthiner, S. Hochreiter, and G. Klambauer. J. Chem. Inf. Model., 58 (9): 1736-1741 (2018)

BibSonomy

Disambiguation of "Klambauer, Günter"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Machine Learning in Drug Discovery.

Please choose a person to relate this publication to

Günter Klambauer

Günter Theißen

Günter Teupel

Günter Friedrich

Günter Rahn

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Klambauer, Günter"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning in Drug Discovery.

Please choose a person to relate this publication to

Günter Klambauer

Günter Theißen

Günter Teupel

Günter Friedrich

Günter Rahn

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
Harvard
MSOffice XML

Machine Learning in Drug Discovery.