Devendra Singh Dhami

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Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Matej ZečevićPhD Candidate @ TU DarmstadtVerified email at tu-darmstadt.de
Gautam KunapuliMotiveVerified email at gomotive.com
Mayukh DasSenior Research Scientist at Microsoft Research, India | M365 ResearchVerified email at microsoft.com
David PageDirector, Whitehead InstituteVerified email at wi.mit.edu
Hikaru ShindoTU DarmstadtVerified email at tu-darmstadt.de
Petar VeličkovićStaff Research Scientist, DeepMind | Affiliated Lecturer, University of CambridgeVerified email at deepmind.com
Yang YuUniversity of Texas at DallasVerified email at hlt.utdallas.edu
Moritz WilligPhD Student, TU DarmstadtVerified email at tu-darmstadt.de
Athresh KaranamUniversity of Texas at DallasVerified email at utdallas.edu
Maxwell EderYale School of Medicine and Yale New Haven HospitalVerified email at yale.edu
John M BillingsWake Forest Baptist HealthVerified email at wakehealth.edu
Wolfgang StammerTechnical University DarmstadtVerified email at cs.tu-darmstadt.de
Daniel OchsTU DarmstadtVerified email at cs.tu-darmstadt.de
Zhongjie YuTU DarmstadtVerified email at cs.tu-darmstadt.de
Fabrizio VentolaTU DarmstadtVerified email at cs.tu-darmstadt.de
Constantin A. RothkopfProfessor, Technical University Darmstadt & Adjunct Fellow, FIASVerified email at cogsci.tu-darmstadt.de
David LeakeProfessor of Computer Science, Indiana UniversityVerified email at indiana.edu

Devendra Singh Dhami

Junior Research Group Leader, hessian.AI

Verified email at tu-darmstadt.de - Homepage

Neuro Symbolic Machine Learning Knowledge Graphs ML in Healthcare Automated Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Drug‐drug interaction discovery: kernel learning from heterogeneous similarities DS Dhami, G Kunapuli, M Das, D Page, S Natarajan Smart Health 9, 88-100, 2018	25	2018
Relating graph neural networks to structural causal models M Zecevic, DS Dhami, P Velickovic, K Kersting arXiv preprint arXiv:2109.04173, 2021	20	2021
Interventional sum-product networks: Causal inference with tractable probabilistic models M Zečević, D Dhami, A Karanam, S Natarajan, K Kersting Advances in Neural Information Processing Systems 34, 15019-15031, 2021	16	2021
Fast relational probabilistic inference and learning: Approximate counting via hypergraphs M Das, DS Dhami, G Kunapuli, K Kersting, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7816-7824, 2019	16	2019
Identifying parkinson’s patients: A functional gradient boosting approach DS Dhami, A Soni, D Page, S Natarajan Artificial Intelligence in Medicine: 16th Conference on Artificial …, 2017	14	2017
Machine learning applications to resting-state functional MR imaging analysis JM Billings, M Eder, WC Flood, DS Dhami, S Natarajan, CT Whitlow Neuroimaging Clinics 27 (4), 609-620, 2017	10	2017
Neuro-symbolic forward reasoning H Shindo, DS Dhami, K Kersting arXiv preprint arXiv:2110.09383, 2021	6	2021
Non-parametric learning of Gaifman models DS Dhami, S Yan, G Kunapuli, S Natarajan arXiv preprint arXiv:2001.00528, 2020	4	2020
Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks DS Dhami, S Yan, G Kunapuli, D Page, S Natarajan arXiv preprint arXiv:1911.06356, 2019	4*	2019
Dp-ctgan: Differentially private medical data generation using ctgans ML Fang, DS Dhami, K Kersting Artificial Intelligence in Medicine: 20th International Conference on …, 2022	3	2022
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning M Das, DS Dhami, Y Yu, G Kunapuli, S Natarajan Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021	3*	2021
Morphological classification of galaxies into spirals and non-spirals DS Dhami Indiana University, 2015	3	2015
Can Foundation Models Talk Causality? M Willig, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.10591, 2022	2	2022
SLASH: Embracing probabilistic circuits into neural answer set programming A Skryagin, W Stammer, D Ochs, DS Dhami, K Kersting arXiv preprint arXiv:2110.03395, 2021	2	2021
Beyond simple images: human knowledge-guided GANs for clinical data generation DS Dhami, M Das, S Natarajan Proceedings of the International Conference on Principles of Knowledge …, 2021	2	2021
Predictive Whittle networks for time series Z Yu, F Ventola, N Thoma, DS Dhami, M Mundt, K Kersting Uncertainty in Artificial Intelligence, 2320-2330, 2022	1	2022
Neural-Probabilistic Answer Set Programming A Skryagin, W Stammer, D Ochs, DS Dhami, K Kersting Proceedings of the International Conference on Principles of Knowledge …, 2022	1	2022
HANF: Hyperparameter And Neural Architecture Search in Federated Learning J Seng, P Prasad, DS Dhami, K Kersting arXiv preprint arXiv:2206.12342, 2022	1	2022
The Causal Loss: Driving Correlation to Imply Causation M Willig, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2110.12066, 2021	1	2021
Predicting drug-drug interactions from heterogeneous data: An embedding approach DS Dhami, S Yan, G Kunapuli, D Page, S Natarajan Artificial Intelligence in Medicine: 19th International Conference on …, 2021	1	2021

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