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 2 of 99
2025
On forecast stability
R Godahewa, C Bergmeir, ZE Baz, C Zhu, Z Song, S García, D Benavides
International Journal of Forecasting, 2025
Forecasting6 citationsUnveiling the potential of text in high-dimensional time series forecasting
X Zhou, W Wang, S Qu, Z Zhang, C Bergmeir
arXiv preprint arXiv:2501.07048, 2025
Forecasting6 citationsScalable probabilistic forecasting in retail with gradient boosted trees: A practitioner’s approach
X Long, Q Bui, G Oktavian, DF Schmidt, C Bergmeir, R Godahewa, ...
Machine Learning5 citationsVerifiAgent: a Unified Verification Agent in Language Model Reasoning
J Han, W Buntine, E Shareghi
arXiv preprint arXiv:2504.00406, 2025
Multi-Agent Systems5 citationsDeepHGNN: Study of graph neural network based forecasting methods for hierarchically related multivariate time series
A Sriramulu, N Fourrier, C Bergmeir
Expert Systems with Applications, 127658, 2025
Machine Learning4 citationsHOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
PY Mao, TH Nguyen, W Buntine, M Bennamoun
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025
Research4 citationsHuman-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
X Liang, F de Nijs, B Say, H Wang
Proceedings of the 16th ACM International Conference on Future and …, 2025
Machine Learning3 citationsMost general explanations of tree ensembles
Y Izza, A Ignatiev, S Rubin, J Marques-Silva, PJ Stuckey
Proceedings of the Thirty-Fourth International Joint Conference on …, 2025
Research3 citationsAssessing the alignment of fol closeness metrics with human judgement
RK Thatikonda, W Buntine, E Shareghi
arXiv e-prints, arXiv: 2501.08613, 2025
Research3 citationsBalancing forecast accuracy and switching costs in online optimization of energy management systems
E Genov, J Ruddick, C Bergmeir, M Vafaeipour, T Coosemans, S García, ...
Expert Systems with Applications, 129305, 2025
Forecasting2 citationsFlow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery
Y Zhang, Z Chen, D Harabor, PL Bodic, PJ Stuckey
arXiv preprint arXiv:2508.05890, 2025
Multi-Agent Systems2 citationsPredict and optimize: a smart inventory management model for beauty retail: Z. Namazian et al.
Z Namazian, JM Betts, PJ Stuckey
Optimization Letters, 1-21, 2025
Machine Learning2 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.