GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting. - Sitan Yang; Malcolm Wolff; Shankar Ramasubramanian; Vincent Quenneville-Bélair; Ronak Metha; Michael W. Mahoney (CoRR, 2023)

♠ SPADE ♠ Split Peak Attention DEcomposition. - Malcolm Wolff; Kin G. Olivares; Boris N. Oreshkin; Sunny Ruan; Sitan Yang; Abhinav Katoch; Shankar Ramasubramanian; Youxin Zhang; Michael W. Mahoney; Dmitry Efimov; Vincent Quenneville-Bélair (CoRR, 2024)

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data. - Hanyu Zhang; Chuck Arvin; Dmitry Efimov; Michael W. Mahoney; Dominique Perrault-Joncas; Shankar Ramasubramanian; Andrew Gordon Wilson; Malcolm Wolff (CoRR, 2024)

Using Pre-trained LLMs for Multivariate Time Series Forecasting. - Malcolm Wolff; Shenghao Yang 002; Kari Torkkola; Michael W. Mahoney (CoRR, 2025)

SPADE-S: A Sparsity-Robust Foundational Forecaster. - Malcolm Wolff; Matthew Li; Ravi Kiran Selvam; Hanjing Zhu; Kin G. Olivares; Ruijun Ma; Abhinav Katoch; Shankar Ramasubramanian; Mengfei Cao; Roberto Bandarra; Rahul Gopalsamy; Stefania La Vattiata; et al. (CoRR, 2025)