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2020 – today
- 2024
[j6]Susan Ghaderi
, Masoud Ahookhosh, Adam Arany, Alexander Skupin, Panagiotis Patrinos, Yves Moreau:
Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. Appl. Math. Comput. 464: 128377 (2024)- [j5]Wouter Heyndrickx, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans:
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024) - [c13]Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau:
Atom-Level Optical Chemical Structure Recognition with Limited Supervision. CVPR 2024: 17669-17678 - [c12]Hannah Rosa Friesacher, Emma Svensson, Adam Arany, Lewis H. Mervin, Ola Engkvist:
Temporal Evaluation of Probability Calibration with Experimental Errors. AIDD@ICANN 2024: 13-20 - [c11]Emma Svensson, Hannah Rosa Friesacher, Adam Arany, Lewis H. Mervin, Ola Engkvist:
Temporal Evaluation of Uncertainty Quantification Under Distribution Shift. AIDD@ICANN 2024: 132-148 - [c10]András Formanek, Edward De Brouwer, Péter Antal, Yves Moreau, Adam Arany:
Model Based Clustering of Time Series Utilizing Expert ODEs. ICANN (4) 2024: 230-245 - [i12]Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau:
Atom-Level Optical Chemical Structure Recognition with Limited Supervision. CoRR abs/2404.01743 (2024) - [i11]Hannah Rosa Friesacher, Ola Engkvist, Lewis H. Mervin, Yves Moreau, Adam Arany:
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models. CoRR abs/2407.14185 (2024) - 2023
- [c9]Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier:
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI 2023: 15576-15584 - [c8]Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer:
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. ICLR 2023 - [i10]Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer:
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. CoRR abs/2303.05148 (2023) - 2022
- [j4]Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács:
Collaborative Drug Discovery: Inference-level Data Protection Perspective. Trans. Data Priv. 15(2): 87-107 (2022) - [i9]Adam Arany, Jaak Simm, Martijn Oldenhof, Yves Moreau:
SparseChem: Fast and accurate machine learning model for small molecules. CoRR abs/2203.04676 (2022) - [i8]Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács:
Collaborative Drug Discovery: Inference-level Data Protection Perspective. CoRR abs/2205.06506 (2022) - [i7]Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier:
Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR abs/2210.08871 (2022) - 2021
- [j3]Daniele Raimondi, Jaak Simm, Adam Arany, Yves Moreau:
A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction. Bioinform. 37(16): 2275-2281 (2021) - [c7]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
Self-labeling of Fully Mediating Representations by Graph Alignment. BNAIC/BENELEARN 2021: 46-65 - [c6]Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau:
Latent Convergent Cross Mapping. ICLR 2021 - [c5]Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau:
Expressive Graph Informer Networks. LOD 2021: 198-212 - [i6]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
Self-Labeling of Fully Mediating Representations by Graph Alignment. CoRR abs/2103.14133 (2021) - 2020
- [j2]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. J. Chem. Inf. Model. 60(10): 4506-4517 (2020) - [i5]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. CoRR abs/2002.09914 (2020) - [i4]Joris Tavernier, Jaak Simm, Adam Arany, Karl Meerbergen, Yves Moreau:
Multilevel Gibbs Sampling for Bayesian Regression. CoRR abs/2009.12132 (2020)
2010 – 2019
- 2019
- [c4]Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019 - [c3]Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series. NeurIPS 2019: 7377-7388 - [i3]Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. CoRR abs/1905.12374 (2019) - [i2]Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau:
Graph Informer Networks for Molecules. CoRR abs/1907.11318 (2019) - 2018
- [j1]Pooya Zakeri, Jaak Simm, Adam Arany, Sarah ElShal, Yves Moreau:
Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information. Bioinform. 34(13): i447-i456 (2018) - [i1]Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification. CoRR abs/1811.10501 (2018) - 2017
- [c2]Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Yves Moreau:
Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC. MLSP 2017: 1-6 - 2016
- [c1]Sarah ElShal, Jaak Simm, Adam Arany, Pooya Zakeri, Jesse Davis, Yves Moreau:
A Comprehensive Comparison of Two MEDLINE Annotators for Disease and Gene Linkage: Sometimes Less is More. IWBBIO 2016: 765-778
Coauthor Index
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last updated on 2024-10-07 01:20 CEST by the dblp team
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