Devendra Singh Dhami
Orcid: 0000-0002-4331-7193
According to our database1,
Devendra Singh Dhami
authored at least 66 papers
between 2017 and 2025.
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Bibliography
2025
2024
Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images.
Remote. Sens., January, 2024
Graph Embedding Techniques for Predicting Missing Links in Biological Networks: An Empirical Evaluation.
IEEE Trans. Emerg. Top. Comput., 2024
Mach. Learn., 2024
CoRR, 2024
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
CoRR, 2024
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program.
CoRR, 2024
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.
CoRR, 2024
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Mach. Learn., May, 2023
Trans. Mach. Learn. Res., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the AAAI Bridge Program on Continual Causality, 2023
2022
CoRR, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
CoRR, 2021
CoRR, 2021
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN.
CoRR, 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020
Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020
2019
CoRR, 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2017
Proceedings of the Artificial Intelligence in Medicine, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017