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Devendra Singh Dhami
Devendra Singh Dhami
Assistant Professor at TU Eindhoven
Verified email at tue.nl - Homepage
Title
Cited by
Cited by
Year
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
722023
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
552022
Relating graph neural networks to structural causal models
M Zečević, DS Dhami, P Veličković, K Kersting
arXiv preprint arXiv:2109.04173, 2021
552021
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
352021
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
292018
Neuro-symbolic forward reasoning
H Shindo, DS Dhami, K Kersting
arXiv preprint arXiv:2110.09383, 2021
252021
Can foundation models talk causality?
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.10591, 2022
232022
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
192024
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
192022
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
192019
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
172024
ILP: thinking visual scenes as differentiable logic programs
H Shindo, V Pfanschilling, DS Dhami, K Kersting
Machine Learning 112 (5), 1465-1497, 2023
132023
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
112023
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
112017
Causal parrots: Large language models may talk causality but are not causal
M Willig, M Zecevic, DS Dhami, K Kersting
preprint 8, 2023
102023
Hanf: Hyperparameter and neural architecture search in federated learning
J Seng, P Prasad, DS Dhami, K Kersting
arXiv preprint arXiv:2206.12342 2, 2022
102022
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
8*2019
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
72021
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
72021
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
62024
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