Devendra Singh Dhami
Devendra Singh Dhami
PostDoctoral Researcher, Technische Universität Darmstadt
Geverifieerd e-mailadres voor tu-darmstadt.de - Homepage
Geciteerd door
Geciteerd door
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
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
Identifying parkinson’s patients: A functional gradient boosting approach
DS Dhami, A Soni, D Page, S Natarajan
Conference on Artificial Intelligence in Medicine in Europe, 332-337, 2017
Relating graph neural networks to structural causal models
M Zecevic, DS Dhami, P Velickovic, K Kersting
arXiv preprint arXiv:2109.04173, 2021
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
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, 2021
Non-parametric learning of gaifman models
DS Dhami, S Yan, G Kunapuli, S Natarajan
arXiv preprint arXiv:2001.00528, 2020
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning
M Das, DS Dhami, Y Yu, G Kunapuli, S Natarajan
8th ACM IKDD CODS and 26th COMAD, 110-118, 2021
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
Morphological classification of galaxies into spirals and non-spirals
DS Dhami
Indiana University, 2015
On the Tractability of Neural Causal Inference
M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12052, 2021
Neuro-Symbolic Forward Reasoning
H Shindo, DS Dhami, K Kersting
arXiv preprint arXiv:2110.09383, 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
Knowledge-based morphological classification of galaxies from vision features
DS Dhami, D Leake, S Natarajan
Workshops at the thirty-first AAAI conference on artificial intelligence, 2017
Finding Structure and Causality in Linear Programs
M Zečević, FP Busch, DS Dhami, K Kersting
arXiv preprint arXiv:2203.15274, 2022
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem
DS Dhami, S Yan, G Kunapuli, S Natarajan
International Conference on Inductive Logic Programming, 95-110, 2021
Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits
F Ventola, DS Dhami, K Kersting
International Conference on Inductive Logic Programming, 251-265, 2021
The Causal Loss: Driving Correlation to Imply Causation
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12066, 2021
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
Structural Causal Interpretation Theorem
M Zečević, DS Dhami, CA Rothkopf, K Kersting
arXiv preprint arXiv:2110.02395, 2021
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