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Boris N. Oreshkin

  1. N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
    2019/05/24 by Boris N. Oreshkin, Dmitri Carpov, Oreshkin, Boris N. +5 · 132 citations
    Decision Sciences · Computer Science · #Forecasting Techniques and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  2. N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
    2022/01/30 by Cristian Challú, Kin G. Olivares, Challu, Cristian +9 · 19 citations
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  3. NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
    2023/06/26 by Cristian Challú, Kin G. Olivares, Boris N. Oreshkin +3 · 18 citations
    Computer Science · Decision Sciences · Engineering · #Energy Load and Power Forecasting #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  4. Motion Inbetweening via Deep Δ-Interpolator
    2022/01/18 by Boris N. Oreshkin, Antonios Valkanas, Oreshkin, Boris N. +9 · 5 citations
    Computer Science · #Human Pose and Action Recognition #Advanced Vision and Imaging #Optical measurement and interference techniques
  5. ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
    2021/06/03 by Boris N. Oreshkin, Oreshkin, Boris N., Florent Bocquelet +7 · 2 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Human Motion and Animation #Human Pose and Action Recognition #Machine Learning (cs.LG)
  6. FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal\n Traffic Forecasting
    2020/07/30 by Boris N. Oreshkin, Arezou Amini, Oreshkin, Boris N. +5 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
  7. Quantile Regression with Large Language Models for Price Prediction
    2025/06/07 by Nikhita Vedula, Dushyanta Dhyani, Vedula, Nikhita +9 · 4 citations
    Computer Science · Decision Sciences · Social Sciences · #Multimodal Machine Learning Applications #Stock Market Forecasting Methods #Computational and Text Analysis Methods
  8. Uncertainty in Multitask Transfer Learning
    2018/06/20 by Alexandre Lacoste, Boris N. Oreshkin, Lacoste, Alexandre +9 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  9. Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
    2024/04/26 by Slawek Smyl, Smyl, Slawek, Boris N. Oreshkin +5 · 1 citation
    Decision Sciences · Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting
    2024/12/02 by Paweł Pełka, Kasprzyk, Mateusz, Pełka, Paweł +4 · 1 citation
    Engineering · #Artificial Intelligence (cs.AI) #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Post-Training in Time Series Foundation Models: A Unifying Framework
    2026/07/22 by Shifeng Xie, Ambroise Odonnat, Zehao Xiao +7
    #cs.LG #cs.AI