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 14 of 99
2023
MEG: Masked Ensemble Tabular Data Generator
Y Zhang, NA Zaidi, G Li, W Buntine
2023 IEEE International Conference on Data Mining (ICDM), 838-847, 2023
Research1 citationsApplying Artificial Intelligence (AI) and eyetracking in designing and managing delightful customer experiences in hotels in Vietnam
TH Le, TSQ Le D, H Chun, DD Le, W Buntine
CAUTHE 2023: West, East, South, North: Redirecting Research in Tourism …, 2023
Machine Learning1 citationsRisk-Limiting Audits for Condorcet
M Blom, PJ Stuckey, V Teague, D Vukcevic5D
Financial Cryptography and Data Security. FC 2023 International Workshops …, 2023
ResearchPredict-Then-Optimise Strategies for Water Flow Control (Short Paper)
VB Vaz, J Bailey, C Leckie, PJ Stuckey
CP, 2023
ResearchSemi-supervised Learning with Knowledge-driven Visual Similarity Priors
I Nassar, S Herath, E Abbasnejad, W Buntine, G Haffari
Deep Visual Recognition with Limited Human Supervision, 70, 2023
Research
2022
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
International Journal of forecasting 38 (3), 705-871, 2022
Forecasting1,276 citationsHands-on Bayesian neural networks—A tutorial for deep learning users
LV Jospin, H Laga, F Boussaid, W Buntine, M Bennamoun
Machine Learning1,257 citationsBranch-and-cut-and-price for multi-agent path finding
E Lam, P Le Bodic, D Harabor, PJ Stuckey
Computers & Operations Research 144, 105809, 2022
Multi-Agent Systems195 citationsMurtree: Optimal decision trees via dynamic programming and search
E Demirović, A Lukina, E Hebrard, J Chan, J Bailey, C Leckie, ...
Journal of Machine Learning Research 23 (26), 1-47, 2022
Optimization177 citationsMAPF-LNS2: Fast repairing for multi-agent path finding via large neighborhood search
J Li, Z Chen, D Harabor, PJ Stuckey, S Koenig
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10256 …, 2022
Machine Learning176 citationsGlobal models for time series forecasting: A simulation study
H Hewamalage, C Bergmeir, K Bandara
Pattern Recognition 124, 108441, 2022
Forecasting116 citationsBranch-and-cut-and-price for the electric vehicle routing problem with time windows, piecewise-linear recharging and capacitated recharging stations
E Lam, G Desaulniers, PJ Stuckey
Computers & Operations Research 145, 105870, 2022
Research103 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.