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 7 of 99
2024
A Formal Explainer for Just-In-Time Defect Predictions
J Yu, M Fu, A Ignatiev, C Tantithamthavorn, P Stuckey
ACM Transactions on Software Engineering and Methodology 33 (7), 1-31, 2024
Machine Learning7 citationsFormal explanations for neuro-symbolic ai
S Paul, J Yu, JJ Dekker, A Ignatiev, PJ Stuckey
arXiv preprint arXiv:2410.14219, 2024
Machine Learning6 citationsStrategies for improving nl-to-fol translation with llms: Data generation, incremental fine-tuning, and verification
RK Thatikonda, J Han, W Buntine, E Shareghi
arXiv e-prints, arXiv: 2409.16461, 2024
Research6 citationsA survey on the real power of ChatGPT
M Liu, R Liu, Y Zhu, H Wang, Y Qu, R Li, Y Sheng, W Buntine
arXiv preprint arXiv:2405.00704, 2024
Research6 citationsOntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation
W Tan, W Wang, X Zhou, W Buntine, G Bingham, H Yin
World Wide Web 27 (3), 28, 2024
Machine Learning5 citationsImproving Vietnamese-English Medical Machine Translation
N Vo, DQ Nguyen, DD Le, M Piccardi, W Buntine
arXiv preprint arXiv:2403.19161, 2024
Research5 citationsMulti-stage predict+ optimize for (mixed integer) linear programs
X Hu, J Lee, J Lee, P Stuckey
Advances in Neural Information Processing Systems 37, 64794-64827, 2024
Research4 citationsNavigating Conflicting Views: Harnessing Trust for Learning
J Lu, W Buntine, Y Qi, J Dipnall, B Gabbe, L Du
arXiv preprint arXiv:2406.00958, 2024
Research4 citationsSingle constant multiplication for SAT
H Bierlee, JJ Dekker, V Lagoon, PJ Stuckey, G Tack
International Conference on the Integration of Constraint Programming …, 2024
Research3 citationsReward engineering for generating semi-structured explanation
J Han, W Buntine, E Shareghi
Findings of the Association for Computational Linguistics: EACL 2024, 589-602, 2024
Research3 citationsCreating a Cooperative AI Policymaking Platform through Open Source Collaboration
A Lewington, A Vittalam, A Singh, A Uppuluri, A Ashok, AM Athmaram, ...
arXiv preprint arXiv:2412.06936, 2024
Machine Learning2 citationsCommentary: Can LLMs Provide Good Forecasts?
C Bergmeir
Foresight: The International Journal of Applied Forecasting, 2024
Forecasting2 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.