Research & Decision Science
Research built into the product
Forecasting, optimization and applied AI for real decisions under real constraints.
- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Scientific foundations
From research result to product behavior
Probabilistic forecasts, coherent hierarchies, constraint-aware recommendations and governed human intervention.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local forecasts do not aggregate coherently across the enterprise | 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 | Adaptive elicitation, semantic routing and governed context workflows |
| Human-in-the-loop AI | Automation without trust creates resistance | Belief review, governed publication and intervention lineage |
| Alignment science | Teams optimize against conflicting goals | Goals & Guardrails within Forecasting & Optimization |
Hierarchical forecasting
Local forecasts do not aggregate coherently across the enterprise
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
Adaptive elicitation, semantic routing and governed context workflows
Human-in-the-loop AI
Automation without trust creates resistance
Belief review, governed publication and intervention lineage
Alignment science
Teams optimize against conflicting goals
Goals & Guardrails within Forecasting & Optimization
Research database
Search the indexed record by title, author, venue, category or year. Records include peer-reviewed work, preprints, books, chapters and other scholarly outputs.
1,181 results · page 6 of 99
2025
ACM TOPML: Inaugural Issue Editorial
T Papamarkou, F Liu, W Buntine
ACM Transactions on Probabilistic Machine Learning 1 (1), 1-2, 2025
Research
2024
Pive: Prompting with iterative verification improving graph-based generative capability of llms
J Han, N Collier, W Buntine, E Shareghi
Findings of the Association for Computational Linguistics: ACL 2024, 6702-6718, 2024
Research67 citationsTraffic flow optimisation for lifelong multi-agent path finding
Z Chen, D Harabor, J Li, PJ Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20674 …, 2024
Multi-Agent Systems38 citationsMachine learning applications in hierarchical time series forecasting: Investigating the impact of promotions
M Abolghasemi, G Tarr, C Bergmeir
International Journal of Forecasting 40 (2), 597-615, 2024
Machine Learning34 citationsTowards uncertainty-aware language agent
J Han, W Buntine, E Shareghi
arXiv preprint arXiv:2401.14016, 2024
Machine Learning28 citationsDelivering inflated explanations
Y Izza, A Ignatiev, PJ Stuckey, J Marques-Silva
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12744 …, 2024
Research24 citationsPlanning and execution in multi-agent path finding: Models and algorithms
Y Zhang, Z Chen, D Harabor, P Le Bodic, PJ Stuckey
Proceedings of the International Conference on Automated Planning and …, 2024
Optimization16 citationsSuperstack: Superoptimization of stack-bytecode via greedy, constraint-based, and sat techniques
E Albert, M Garcia de la Banda, A Hernández-Cerezo, A Ignatiev, A Rubio, ...
Proceedings of the ACM on Programming Languages 8 (PLDI), 1437-1462, 2024
Machine Learning15 citationsScalable Transformer for High Dimensional Multivariate Time Series Forecasting
X Zhou, W Wang, W Buntine, S Qu, A Sriramulu, W Tan, C Bergmeir
Proceedings of the 33rd ACM International Conference on Information and …, 2024
Forecasting14 citationsDiscrete diffusion language model for long text summarization
DH Dat, DD Anh, AT Luu, W Buntine
arXiv e-prints, arXiv: 2407.10998, 2024
Research9 citationsHarnessing the power of beta scoring in deep active learning for multi-label text classification
W Tan, ND Nguyen, L Du, W Buntine
Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15240 …, 2024
Research8 citationsLLMs and Foundational Models: Not (Yet) as Good as Hoped
C Bergmeir
Foresight: The International Journal of Applied Forecasting 73, 33-38, 2024
Research7 citations
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