Devendra Singh Dhami

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

Devendra Singh Dhami

Assistant Professor at TU Eindhoven

Verified email at tue.nl - Homepage

Causality Probabilistic Circuits Neuro Symbolic AI ML in Healthcare


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Causal parrots: Large language models may talk causality but are not causal M Zečević, M Willig, DS Dhami, K Kersting arXiv preprint arXiv:2308.13067, 2023	88	2023
Dp-ctgan: Differentially private medical data generation using ctgans ML Fang, DS Dhami, K Kersting International Conference on Artificial Intelligence in Medicine, 178-188, 2022	63	2022
Relating graph neural networks to structural causal models M Zečević, DS Dhami, P Veličković, K Kersting arXiv preprint arXiv:2109.04173, 2021	59	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	38	2021
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	30	2018
Neuro-symbolic forward reasoning H Shindo, DS Dhami, K Kersting arXiv preprint arXiv:2110.09383, 2021	25	2021
Can foundation models talk causality? M Willig, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.10591, 2022	24	2022
Interpretable and explainable logical policies via neurally guided symbolic abstraction Q Delfosse, H Shindo, D Dhami, K Kersting Advances in Neural Information Processing Systems 36, 2024	23	2024
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	21	2022
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	19	2019
Identifying Parkinson's Patients by a Functional Gradient Boosting Approach S Sharma, M Gupta, K Goyal, M Goyal, P Sharma Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis …, 2024	18	2024
ILP: thinking visual scenes as differentiable logic programs H Shindo, V Pfanschilling, DS Dhami, K Kersting Machine Learning 112 (5), 1465-1497, 2023	17	2023
Vision relation transformer for unbiased scene graph generation G Sudhakaran, DS Dhami, K Kersting, S Roth Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	15	2023
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	12	2017
Hanf: Hyperparameter and neural architecture search in federated learning J Seng, P Prasad, DS Dhami, K Kersting arXiv preprint arXiv:2206.12342 2, 2022	11	2022
Causal parrots: Large language models may talk causality but are not causal M Willig, M Zecevic, DS Dhami, K Kersting preprint 8, 2023	10	2023
Probing for correlations of causal facts: Large language models and causality M Willig, M Zečević, DS Dhami, K Kersting	9	2023
Pix2code: Learning to compose neural visual concepts as programs A Wüst, W Stammer, Q Delfosse, DS Dhami, K Kersting arXiv preprint arXiv:2402.08280, 2024	8	2024
Graph embedding techniques for predicting missing links in biological networks: An empirical evaluation B Teji, S Roy, DS Dhami, D Bhandari, PH Guzzi IEEE Transactions on Emerging Topics in Computing 12 (1), 190-201, 2023	8	2023
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	8	2021

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