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 23 of 99
2021
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
F Saleh, W Buntine, G Haffari, L Du
arXiv preprint arXiv:2110.07816, 2021
Machine Learning7 citationsCurriculum learning effectively improves low data VQA
N Askarian, E Abbasnejad, I Zukerman, W Buntine, G Haffari
Australasian Language Technology Association Workshop 2021, 22-33, 2021
Research7 citationsDisjunctive interval analysis
G Gange, JA Navas, P Schachte, H Søndergaard, PJ Stuckey
International Static Analysis Symposium, 144-165, 2021
Research6 citationsCitation context-based topic models: discovering cited and citing topics from full text
L Zou, X Liu, W Buntine, Y Liu
Library Hi Tech 39 (4), 1063-1083, 2021
Research6 citationsTransformation-enabled precondition inference
B Kafle, G Gange, PJ Stuckey, P Schachte, H Søndergaard
Theory and Practice of Logic Programming 21 (6), 700-716, 2021
Bayesian Methods5 citationsVariance-Seeking Meta-Exploration to Handle Out-of-Distribution Tasks
YS Grewal, F de Nijs, S Goodwin
Deep RL Workshop NeurIPS 2021, 2021
Research4 citationsssc: An R Package for Semi-Supervised Classification
M González, O Rosado, JD Rodríguez, C Bergmeir, I Triguero, JM Benítez
R package version 2021, 21-0, 2021
Research3 citationsFurther improved heuristics for conflict-based search
E Boyarski, A Felner, P Le Bodic, DD Harabor, PJ Stuckey, S Koenig
Proceedings of the International Symposium on Combinatorial Search 12 (1 …, 2021
Optimization2 citations- Bayesian Methods2 citations
Optimising training for service delivery
I Senthooran, P Le Bodic, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2021
Machine Learning2 citationsDependency learning graph neural network for multivariate forecasting
A Patel, A Sriramulu, C Bergmeir, N Fourrier
International Conference on Neural Information Processing, 114-123, 2021
Machine Learning1 citationsOn identifying statistical redundancy at the level of amino acid subsequences
S Rajapaksa, D Sumanaweera, MG de La Banda, P Stuckey, D Abramson, ...
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
Research1 citations
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