Malcolm Wolff

According to our database, Malcolm Wolff authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables.

Andres Potapczynski, Ravi Kiran Selvam, Tatiana Konstantinova, Shankar Ramasubramanian, Malcolm Wolff, Kin G. Olivares, Ruijun Ma, Mengfei Cao, Michael W. Mahoney, Andrew Gordon Wilson, Boris N. Oreshkin, Dmitry Efimov

CoRR, March, 2026

Zero-shot Forecasting by Simulation Alone.

Boris N. Oreshkin, Mayank Jauhari, Ravi Kiran Selvam, Malcolm Wolff, Wenhao Pan, Shankar Ramasubramanian, Kin G. Olivares, Tatiana Konstantinova, Andres Potapczynski, Mengfei Cao, Dmitry Efimov, Michael W. Mahoney, Andrew Gordon Wilson

CoRR, January, 2026

2025

Forking-Sequences.

Willa Potosnak, Malcolm Wolff, Boris N. Oreshkin, Mengfei Cao, Michael W. Mahoney, Dmitry Efimov, Kin G. Olivares

CoRR, October, 2025

A Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models.

Kin G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Andrew Gordon Wilson, Andres Potapczynski, Willa Potosnak, Mengfei Cao, Boris N. Oreshkin, Dmitry Efimov

CoRR, September, 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, Sitan Yang, Michael M. Mahoney

CoRR, July, 2025

Using Pre-trained LLMs for Multivariate Time Series Forecasting.

Malcolm Wolff, Shenghao Yang, Kari Torkkola, Michael W. Mahoney

CoRR, January, 2025

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

♠ 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

2023

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