| 2026 | ICDE | TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting. | Zhiyuan Zhao, Sitan Yang, Kin G. Olivares, Boris N. Oreshkin, Stan Vitebsky, Michael W. Mahoney, B. Aditya Prakash, Dmitry Efimov |
| 2025 | ACL | Quantile Regression with Large Language Models for Price Prediction. | Nikhita Vedula, Dushyanta Dhyani, Laleh Jalali, Boris N. Oreshkin, Mohsen Bayati, Shervin Malmasi |
| 2025 | AISTATS | MODL: Multilearner Online Deep Learning. | Antonios Valkanas, Boris N. Oreshkin, Mark Coates |
| 2025 | ICML | SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. | Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates |
| 2023 | AAAI | NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. | Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramrez, Max Mergenthaler Canseco, Artur Dubrawski |
| 2022 | ICLR | ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics. | Boris N. Oreshkin, Florent Bocquelet, Flix G. Harvey, Bay Raitt, Dominic Laflamme |
| 2022 | SiggraphA | SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. | Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Flix G. Harvey, Louis-Simon Mnard, Christopher Pal |
| 2021 | AAAI | FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. | Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates |
| 2021 | AAAI | Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. | Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio |
| 2020 | CVPR | CLAREL: Classification via retrieval loss for zero-shot learning. | Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal |
| 2020 | ICLR | N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. | Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio |
| 2020 | IJCAI | Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. | Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jgersand |
| 2019 | ICCV | AMP: Adaptive Masked Proxies for Few-Shot Segmentation. | Mennatullah Siam, Boris N. Oreshkin, Martin Jgersand |
| 2019 | ICLR | Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning. | Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Boris N. Oreshkin, Julien Cornebise |
| 2011 | ICIP | Spatial and probabilistic codebook template based head pose estimation from unconstrained environments. | Meltem Demirkus, Boris N. Oreshkin, James J. Clark, Tal Arbel |
| 2010 | FUSION | Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements. | Xuan Liu, Boris N. Oreshkin, M. J. Coates |
| 2010 | FUSION | Asynchronous distributed particle filter via decentralized evaluation of Gaussian products. | Boris N. Oreshkin, M. J. Coates |
| 2009 | FUSION | Multi-hop Greedy Gossip with Eavesdropping. | Deniz stebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat |
| 2009 | ICASSP | The speed of greed: Characterizing myopic gossip through network voracity. | Deniz stebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat |
| 2008 | FUSION | Weak sense Lp error bounds for leader-node distributed particle filters. | Boris N. Oreshkin, Mark Coates |
| 2008 | ICASSP | Distributed average consensus with increased convergence rate. | Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates |
| 2008 | ICASSP | Optimization of loading factor preventing target cancellation. | Boris N. Oreshkin, Peter A. Bakulev |