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 17 of 99
2022
FRANS: Automatic feature extraction for time series forecasting
A Chernikov, CW Tan, P Montero-Manso, C Bergmeir
arXiv preprint arXiv:2209.07018, 2022
Forecasting6 citationsDual euclidean shortest path search
R Hechenberger, PJ Stuckey, P Le Bodic, DD Harabor
Proceedings of the International Symposium on Combinatorial Search 15 (1 …, 2022
Optimization5 citationsMulti-train path finding revisited
Z Chen, J Li, D Harabor, PJ Stuckey, S Koenig
Proceedings of the International Symposium on Combinatorial Search 15 (1), 38-46, 2022
Machine Learning5 citationsMulti-target search in euclidean space with ray shooting (full version)
R Hechenberger, D Harabor, MA Cheema, PJ Stuckey, PL Bodic
arXiv preprint arXiv:2207.02436, 2022
Optimization5 citationsCoupling different integer encodings for SAT
H Bierlee, G Gange, G Tack, JJ Dekker, PJ Stuckey
International Conference on Integration of Constraint Programming …, 2022
Research4 citationsUnsupervised sentence simplification via dependency parsing
V Vo, W Wang, W Buntine
arXiv preprint arXiv:2206.12261, 2022
Research4 citationsInductive biases for low data vqa: a data augmentation approach
N Askarian, E Abbasnejad, I Zukerman, W Buntine, G Haffari
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Research4 citationsBallot-polling audits of instant-runoff voting elections with a Dirichlet-tree model
F Everest, M Blom, PB Stark, PJ Stuckey, V Teague, D Vukcevic
European Symposium on Research in Computer Security, 525-540, 2022
Research3 citationsEnumerated Types and Type Extensions for MiniZinc
PJ Stuckey, G Tack
International Conference on Integration of Constraint Programming …, 2022
Research2 citations- Research2 citations
Evaluating individual heterogeneity in mental health research: an overview of clustering methods and guidelines for applications
CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, JMM Bayer, ...
PsyArXiv, 2022
Optimization1 citationsMaking resource-constrained sequential recommendations
F De Nijs, G Theocharous
US Patent 11,449,763, 2022
Machine Learning1 citations
Learn the science behind the engine
“Forecasting for Data Scientists”, a free 30-chapter video course by co-founder Dr Christoph Bergmeir, from fundamentals to advanced deep learning.