Oreshkin, Boris N.

12 publications

AISTATS 2025 MODL: Multilearner Online Deep Learning Antonios Valkanas, Boris N. Oreshkin, Mark Coates

ICML 2025 SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates

NeurIPS 2024 Online Posterior Sampling with a Diffusion Prior Branislav Kveton, Boris N. Oreshkin, Youngsuk Park, Aniket Deshmukh, Rui Song

NeurIPSW 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-Belair

AAAI 2023 NHITS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski

ICLR 2022 ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics Boris N. Oreshkin, Florent Bocquelet, Felix G. Harvey, Bay Raitt, Dominic Laflamme

AAAI 2021 FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates

AAAI 2021 Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio

CVPRW 2020 CLAREL: Classification via Retrieval Loss for Zero-Shot Learning Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal

ICLR 2020 N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio

IJCAI 2020 Weakly Supervised Few-Shot Object Segmentation Using Co-Attention with Visual and Semantic Embeddings Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand

ICLRW 2019 Adaptive Cross-Modal Few-Shot Learning Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro