Kin G. Olivares

18 papers A* 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables. CoRR 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
2026	J	`jnl`	Zero-shot Forecasting by Simulation Alone. CoRR 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
2025	J	`jnl`	A Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models. CoRR Kin G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Andrew Gordon Wilson, Andres Potapczynski, Willa Potosnak, Mengfei Cao, Boris N. Oreshkin, Dmitry Efimov
2025	J	`jnl`	Forking-Sequences. CoRR Willa Potosnak, Malcolm Wolff, Boris N. Oreshkin, Mengfei Cao, Michael W. Mahoney, Dmitry Efimov, Kin G. Olivares
2025	—	`conf`	Global Deep Forecasting with Patient-Specific Pharmacokinetics. CHIL Willa Potosnak, Cristian I. Challu, Kin G. Olivares, Keith A. Dufendach, Artur Dubrawski
2025	J	`jnl`	Investigating Compositional Reasoning in Time Series Foundation Models. CoRR Willa Potosnak, Cristian Challu, Mononito Goswami, Kin G. Olivares, Michal Wilinski, Nina Zukowska, Artur Dubrawski
2025	J	`jnl`	SPADE-S: A Sparsity-Robust Foundational Forecaster. CoRR 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
2025	J	`jnl`	TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting. CoRR Zhiyuan Zhao, Sitan Yang, Kin G. Olivares, Boris N. Oreshkin, Stan Vitebsky, Michael W. Mahoney, B. Aditya Prakash, Dmitry Efimov
2024	J	`jnl`	♠ SPADE ♠ Split Peak Attention DEcomposition. CoRR 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
2024	J	`jnl`	♣ CLOVER ♣: Probabilistic Forecasting with Coherent Learning Objective Reparameterization. Trans. Mach. Learn. Res. Kin G. Olivares, Geoffrey Négiar, Ruijun Ma, Oinam Nganba Meetei, Mengfei Cao, Michael W. Mahoney
2023	J	`jnl`	Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. CoRR Willa Potosnak, Cristian Challu, Kin G. Olivares, Artur Dubrawski
2023	J	`jnl`	HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting. CoRR Kin G. Olivares, David Luo, Cristian Challu, Stefania La Vattiata, Max Mergenthaler, Artur Dubrawski
2023	A*	`conf`	NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. AAAI Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski
2022	J	`jnl`	HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python. CoRR Kin G. Olivares, Federico Garza, David Luo, Cristian Challu, Max Mergenthaler, Artur Dubrawski
2022	J	`jnl`	N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. CoRR Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski
2021	J	`jnl`	DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting. CoRR Cristian Challu, Kin G. Olivares, Gus Welter, Artur Dubrawski
2021	J	`jnl`	Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. CoRR Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, Artur Dubrawski
2021	J	`jnl`	Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures. CoRR Kin G. Olivares, O. Nganba Meetei, Ruijun Ma, Rohan Reddy, Mengfei Cao