alphaILP: Thinking Visual Scenes as Differentiable Logic Programs
|
Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami and Kristian Kersting
|
2022
|
Machine Learning Journal (to appear)
|
Predictive Whittle Networks for Time Series
|
Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt and Kristian Kersting
|
2022
|
Uncertainty in Artificial Intelligence
|
Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming
|
Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami and Kristian Kersting
|
2022
|
International Conference on Principles of Knowledge Representation and Reasoning
|
Neural-Probabilistic Answer Set Programming
|
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami and Kristian Kersting
|
2022
|
International Conference on Principles of Knowledge Representation and Reasoning
|
Finding Structure and Causality in Linear Programs
|
Matej Zečević, Florian Peter Busch, Devendra Singh Dhami and Kristian Kersting
|
2022
|
ICLR Workshop on the Elements of Reasoning: Objects, Structure and Causality
|
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
|
Matej Zečević, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, and Kristian Kersting
|
2021
|
Neural Information Processing Systems
|
Non-Parametric Learning of Embeddings for Relational Data using Gaifman Locality Theorem
|
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli and Sriraam Natarajan
|
2021
|
International Conference on Inductive Logic Programming
|
Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation
|
Devendra Singh Dhami, Mayukh Das and Sriraam Natarajan
|
2021
|
International Conference on Principles of Knowledge Representation and Reasoning
|
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning
|
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli and Sriraam Natarajan
|
2021
|
ACM India Joint International Conference on Data Science & Management of Data
|