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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
522023
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
522022
Relating graph neural networks to structural causal models
M Zečević, DS Dhami, P Veličković, K Kersting
arXiv preprint arXiv:2109.04173, 2021
522021
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
332021
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
302018
Neuro-symbolic forward reasoning
H Shindo, DS Dhami, K Kersting
arXiv preprint arXiv:2110.09383, 2021
232021
Can foundation models talk causality?
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.10591, 2022
202022
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
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
162024
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
152024
ILP: thinking visual scenes as differentiable logic programs
H Shindo, V Pfanschilling, DS Dhami, K Kersting
Machine Learning 112 (5), 1465-1497, 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
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
102023
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
92022
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
7*2019
Probing for correlations of causal facts: Large language models and causality
M Willig, M Zečević, DS Dhami, K Kersting
62023
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
62021
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation
J Seng, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07195, 2022
52022
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