Oreshkin, Boris N.

15 publications

TMLR 2026 Probabilistic Pretraining for Improved Neural Regression Boris N. Oreshkin, Shiv Kumar Tavker, Dmitry Efimov

ICLR 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

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

ICCV 2019 AMP: Adaptive Masked Proxies for Few-Shot Segmentation Mennatullah Siam, Boris N. Oreshkin, Martin Jagersand

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