25 citations · 31 across the 5 of their papers we have counts for
6 papers
Scaling laws in wearable human activity recognition
Tom Hoddes, Alex Bijamov, Saket Joshi +4
Many deep architectures and self-supervised pre-training techniques have been proposed for human activity recognition (HAR) from wearable multimodal sensors. Scaling laws have the…
Explainable Models via Compression of Tree Ensembles
Siwen Yan, Sriraam Natarajan, Saket Joshi +2
Ensemble models (bagging and gradient-boosting) of relational decision trees have proved to be one of the most effective learning methods in the area of probabilistic logic models…
Neural Networks for Relational Data
Navdeep Kaur, Gautam Kunapuli, Saket Joshi +2
While deep networks have been enormously successful over the last decade, they rely on flat-feature vector representations, which makes them unsuitable for richly structured domain…
Probabilistic Relational Planning with First Order Decision Diagrams
Saket Joshi, Roni Khardon
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diagr…
Solving Relational MDPs with Exogenous Events and Additive Rewards
S. Joshi, R. Khardon, P. Tadepalli +2
We formalize a simple but natural subclass of service domains for relational planning problems with object-centered, independent exogenous events and additive rewards capturing, fo…
First Order Decision Diagrams for Relational MDPs
Chenggang Wang, Saket Joshi, Roni Khardon
Markov decision processes capture sequential decision making under uncertainty, where an agent must choose actions so as to optimize long term reward. The paper studies efficient r…