Research & Decision Science
Where forecasting research becomes operational decision infrastructure
RabbitHawk is built on peer-reviewed work in probabilistic forecasting, hierarchical reconciliation, optimization and applied AI, translated into systems that improve real decisions under real constraints.
- publications
- 1,181publications
- citations
- 53,485citations
- highly cited papers
- Top 1%highly cited papers
Scientific foundations
Methods proven in the literature, applied in production
Our team’s research is recognized at the field’s leading venues and used at scale by major organizations. We bring that rigor to enterprise planning, but judge every method by whether it improves decisions in practical settings.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local plans do not add up to executive targets | Reconciled forecasts across every level |
| Probabilistic forecasting | Point forecasts hide risk | Full predictive distributions, intervals and scenario ranges |
| Optimization | Forecasts do not tell teams what to do | Constraint-aware recommendations |
| Agentic AI | Context is trapped in emails and notes | Context ingestion and decision agents |
| Human-in-the-loop AI | Automation without trust creates resistance | Approval, override and audit trails |
| Alignment science | Teams optimize against conflicting goals | 90North alignment and goal clarity |
Hierarchical forecasting
Local plans do not add up to executive targets
Reconciled forecasts across every level
Probabilistic forecasting
Point forecasts hide risk
Full predictive distributions, intervals and scenario ranges
Optimization
Forecasts do not tell teams what to do
Constraint-aware recommendations
Agentic AI
Context is trapped in emails and notes
Context ingestion and decision agents
Human-in-the-loop AI
Automation without trust creates resistance
Approval, override and audit trails
Alignment science
Teams optimize against conflicting goals
90North alignment and goal clarity
Selected publications
The full peer-reviewed database: search by title, author, venue, category or year.
1,181 results · page 31 of 99
2019
Lazy CBS: implicit conflict-based search using lazy clause generation
G Gange, D Harabor, PJ Stuckey
Proceedings of the international conference on automated planning and …, 2019
Optimization130 citationsDisjoint splitting for multi-agent path finding with conflict-based search
J Li, D Harabor, PJ Stuckey, A Felner, H Ma, S Koenig
Proceedings of the international conference on automated planning and …, 2019
Optimization107 citationsSymmetry-breaking constraints for grid-based multi-agent path finding
J Li, D Harabor, PJ Stuckey, H Ma, S Koenig
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6087-6095, 2019
Machine Learning106 citationsCore-boosted linear search for incomplete MaxSAT
J Berg, E Demirović, PJ Stuckey
International conference on integration of constraint programming …, 2019
Optimization85 citationsAn investigation into prediction+ optimisation for the knapsack problem
E Demirović, PJ Stuckey, J Bailey, J Chan, C Leckie, K Ramamohanarao, ...
International Conference on Integration of Constraint Programming …, 2019
Forecasting67 citationsPredict+ optimise with ranking objectives: Exhaustively learning linear functions
E Demirović, P J Stuckey, J Bailey, J Chan, C Leckie, K Ramamohanarao, ...
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
Research47 citationsConstraints for symmetry breaking in graph representation
M Codish, A Miller, P Prosser, PJ Stuckey
Constraints 24 (1), 1-24, 2019
Machine Learning44 citationsMachine learning applications in time series hierarchical forecasting
M Abolghasemi, RJ Hyndman, G Tarr, C Bergmeir
arXiv preprint arXiv:1912.00370, 2019
Machine Learning39 citationsStructural and Temporal Representation Learning of Electronic Medical Records
B Hettige, YF Li, W Wang, S Le, W Buntine
arXiv preprint arXiv:1912.03703, 2019
Research33 citationsTechniques inspired by local search for incomplete maxsat and the linear algorithm: Varying resolution and solution-guided search
E Demirović, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2019
Optimization25 citationsForecasting functions for time series and linear models. 2019
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
URL Httppkg Robjhyndman Comforecast R Package Version 8, 2019
Forecasting24 citationsLeveraging external information in topic modelling
H Zhao, L Du, W Buntine, G Liu
Knowledge and Information Systems 61 (2), 661-693, 2019
Research24 citations
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