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 16 of 99
2022
A generative deep learning framework across time series to optimize the energy consumption of air conditioning systems
R Godahewa, C Deng, A Prouzeau, C Bergmeir
IEEE Access 10, 6842-6855, 2022
Machine Learning18 citationsFlex distribution for bounded-suboptimal multi-agent path finding
SH Chan, J Li, G Gange, D Harabor, PJ Stuckey, S Koenig
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9313-9322, 2022
Multi-Agent Systems15 citationsEliminating the impossible, whatever remains must be true
J Yu, A Ignatiev, PJ Stuckey, N Narodytska, J Marques-Silva
arXiv preprint arXiv:2206.09551, 2022
Machine Learning14 citationsProbabilistic causal effect estimation with global neural network forecasting models
P Grecov, AN Prasanna, K Ackermann, S Campbell, D Scott, DI Lubman, ...
IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4999-5013, 2022
Machine Learning11 citationsOn the reliability and the limits of inference of amino acid sequence alignments
S Rajapaksa, D Sumanaweera, AM Lesk, L Allison, PJ Stuckey, ...
Bioinformatics 38 (Supplement_1), i255-i263, 2022
Bayesian Methods11 citationsA FastMap-based algorithm for block modeling
A Li, P Stuckey, S Koenig, TKS Kumar
International Conference on Integration of Constraint Programming …, 2022
Research10 citationsMulti-agent path finding with temporal jump point search
S Hu, DD Harabor, G Gange, PJ Stuckey, NR Sturtevant
Proceedings of the International Conference on Automated Planning and …, 2022
Optimization9 citationsHardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
ND Nguyen, L Du, W Buntine, C Chen, R Beare
arXiv e-prints, arXiv: 2211.05980, 2022
Machine Learning9 citationsOn the effect of isotropy on VAE representations of text
L Zhang, W Buntine, E Shareghi
Annual Meeting of the Association of Computational Linguistics 2022, 694-701, 2022
Research9 citationsA first approach to risk-limiting audits for single transferable vote elections
M Blom, PJ Stuckey, V Teague, D Vukcevic
International Conference on Financial Cryptography and Data Security, 366-380, 2022
Research8 citations’Hara-Wild
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Research7 citationsImproving time-dependent contraction hierarchies
B Shen, MA Cheema, DD Harabor, PJ Stuckey
Proceedings of the International Conference on Automated Planning and …, 2022
Research7 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.