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 20 of 99
2021
Pairwise symmetry reasoning for multi-agent path finding search
J Li, D Harabor, PJ Stuckey, H Ma, G Gange, S Koenig
Artificial Intelligence 301, 103574, 2021
Machine Learning135 citationsTopic model or topic twaddle? Re-evaluating demantic interpretability measures
C Doogan, W Buntine
North American Association for Computational Linguistics 2021, 3824-3848, 2021
Research117 citationsAll labels are not created equal: Enhancing semi-supervision via label grouping and co-training
I Nassar, S Herath, E Abbasnejad, W Buntine, G Haffari
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Machine Learning80 citationsEnsembles of localised models for time series forecasting
R Godahewa, K Bandara, GI Webb, S Smyl, C Bergmeir
Knowledge-Based Systems 233, 107518, 2021
Forecasting76 citationsScalable rail planning and replanning: Winning the 2020 flatland challenge
J Li, Z Chen, Y Zheng, SH Chan, D Harabor, PJ Stuckey, H Ma, S Koenig
Proceedings of the international conference on automated planning and …, 2021
Machine Learning71 citationsSQAPlanner: Generating data-informed software quality improvement plans
D Rajapaksha, C Tantithamthavorn, J Jiarpakdee, C Bergmeir, J Grundy, ...
IEEE Transactions on Software Engineering 48 (8), 2814-2835, 2021
Research65 citationsMachine learning algorithms for predicting and risk profiling of cardiac surgery-associated acute kidney injury
JC Penny-Dimri, C Bergmeir, CM Reid, J Williams-Spence, AD Cochrane, ...
Seminars in thoracic and cardiovascular surgery 33 (3), 735-745, 2021
Machine Learning61 citationsTransformer over pre-trained transformer for neural text segmentation with enhanced topic coherence
K Lo, Y Jin, W Tan, M Liu, L Du, W Buntine
arXiv preprint arXiv:2110.07160, 2021
Machine Learning61 citationsCutting to the core of pseudo-boolean optimization: Combining core-guided search with cutting planes reasoning
J Devriendt, S Gocht, E Demirović, J Nordström, PJ Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3750-3758, 2021
Optimization54 citationsConstrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms
F de Nijs, E Walraven, M De Weerdt, M Spaan
Journal of Artificial Intelligence Research 70, 955-1001, 2021
Machine Learning52 citationsDiversity enhanced active learning with strictly proper scoring rules
W Tan, L Du, W Buntine
Advances in Neural Information Processing Systems 34, 10906-10918, 2021
Research45 citationsOptimal decision trees for nonlinear metrics
E Demirović, PJ Stuckey
Proceedings of the AAAI conference on artificial intelligence 35 (5), 3733-3741, 2021
Research44 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.