Boris N. Oreshkin

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Weakly Supervised

Top Venues

Publications

Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. CoRR (2024)
Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates
Motion In-Betweening via Deep $\Delta$Δ-Interpolator. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
Antonios Valkanas, Boris N. Oreshkin, Mark Coates
MODL: Multilearner Online Deep Learning. CoRR (2024)
Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. AAAI (2023)
Boris N. Oreshkin
3D Human Pose and Shape Estimation via HybrIK-Transformer. CoRR (2023)
Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates
Motion Inbetweening via Deep Δ-Interpolator. CoRR (2022)
Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. CoRR (2022)
Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Bay Raitt, Dominic Laflamme
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics. ICLR (2022)
Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. SIGGRAPH Asia Technical Communications (2022)
Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. CoRR (2022)
Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. AAAI (2021)
Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Bay Raitt, Dominic Laflamme
ProtoRes: Proto-Residual Architecture for Deep Modeling of Human Pose. CoRR (2021)
Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude, Boris N. Oreshkin
Neural forecasting at scale. CoRR (2021)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. AAAI (2021)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. ICLR (2020)
Boris N. Oreshkin, Tal Arbel
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration. CoRR (2020)
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. IJCAI (2020)
Boris N. Oreshkin, Grzegorz Dudek, Pawel Pelka
N-BEATS neural network for mid-term electricity load forecasting. CoRR (2020)
Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark J. Coates
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. CoRR (2020)
Boris N. Oreshkin, Tal Arbel
Uncertainty driven probabilistic voxel selection for image registration. CoRR (2020)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
Meta-learning framework with applications to zero-shot time-series forecasting. CoRR (2020)
Boris N. Oreshkin, Peter A. Bakulev
Optimization of loading factor preventing target cancellation. CoRR (2020)
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops (2020)
Boris N. Oreshkin
Adaptive filters for the moving target indicator system. CoRR (2020)
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs. CoRR (2020)
Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
Adaptive Cross-Modal Few-shot Learning. NeurIPS (2019)
Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand
AMP: Adaptive Masked Proxies for Few-Shot Segmentation. ICCV (2019)
Mennatullah Siam, Boris N. Oreshkin
Adaptive Masked Weight Imprinting for Few-Shot Segmentation. CoRR (2019)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. CoRR (2019)
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Boris N. Oreshkin, Julien Cornebise
Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning. RML@ICLR (2019)
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand
One-Shot Weakly Supervised Video Object Segmentation. CoRR (2019)
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise
DECoVaC: Design of Experiments with Controlled Variability Components. CoRR (2019)
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
Fine-grained zero-shot recognition with metric rescaling. CoRR (2019)
Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
Adaptive Cross-Modal Few-Shot Learning. CoRR (2019)
Alexandre Lacoste, Boris N. Oreshkin, Wonchang Chung, Thomas Boquet, Negar Rostamzadeh, David Krueger
Uncertainty in Multitask Transfer Learning. CoRR (2018)
Boris N. Oreshkin, Pau Rodríguez López, Alexandre Lacoste
TADAM: Task dependent adaptive metric for improved few-shot learning. CoRR (2018)
Boris N. Oreshkin, Pau Rodríguez López, Alexandre Lacoste
TADAM: Task dependent adaptive metric for improved few-shot learning. NeurIPS (2018)
Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris N. Oreshkin, Wonchang Chung, David Krueger
Deep Prior. CoRR (2017)
Pierre L'Ecuyer, David Munger, Boris N. Oreshkin, Richard J. Simard
Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs. Math. Comput. Simul. 135 (2017)
Boris N. Oreshkin, Nazim Régnard, Pierre L'Ecuyer
Rate-Based Daily Arrival Process Models with Application to Call Centers. Oper. Res. 64 (2) (2016)
Boris N. Oreshkin, Tal Arbel
Uncertainty Driven Probabilistic Voxel Selection for Image Registration. IEEE Trans. Medical Imaging 32 (10) (2013)
Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates
Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection. IEEE Trans. Biomed. Eng. 60 (2) (2013)
Boris N. Oreshkin, Tal Arbel
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration. WBIR (2012)
Meltem Demirkus, Boris N. Oreshkin, James J. Clark, Tal Arbel
Spatial and probabilistic codebook template based head pose estimation from unconstrained environments. ICIP (2011)
Boris N. Oreshkin, Xuan Liu, M. J. Coates
Efficient Delay-Tolerant Particle Filtering. IEEE Trans. Signal Process. 59 (7) (2011)
Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates
Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection. ISBI (2011)
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
Optimization and analysis of distributed averaging with short node memory. IEEE Trans. Signal Process. 58 (5) (2010)
Boris N. Oreshkin, Xuan Liu, Mark Coates
Efficient delay-tolerant particle filtering CoRR (2010)
Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
Greedy gossip with eavesdropping. IEEE Trans. Signal Process. 58 (7) (2010)
Boris N. Oreshkin, M. J. Coates
Asynchronous distributed particle filter via decentralized evaluation of Gaussian products. FUSION (2010)
Xuan Liu, Boris N. Oreshkin, M. J. Coates
Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements. FUSION (2010)
Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
Greedy Gossip with Eavesdropping CoRR (2009)
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
Optimization and Analysis of Distributed Averaging with Short Node Memory CoRR (2009)
Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
The speed of greed: Characterizing myopic gossip through network voracity. ICASSP (2009)
Boris N. Oreshkin, Mark J. Coates, Michael G. Rabbat
Optimization and analysis of distributed averaging with memory. Allerton (2009)
Tuncer C. Aysal, Boris N. Oreshkin, M. J. Coates
Accelerated Distributed Average Consensus via Localized Node State Prediction. IEEE Trans. Signal Process. 57 (4) (2009)
Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
Multi-hop Greedy Gossip with Eavesdropping. FUSION (2009)
Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates
Distributed average consensus with increased convergence rate. ICASSP (2008)
Boris N. Oreshkin, Mark Coates
Weak sense Lp error bounds for leader-node distributed particle filters. FUSION (2008)
Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
Rates of convergence for greedy gossip with eavesdropping. Allerton (2008)
Boris N. Oreshkin, Peter A. Bakulev
Optimization of loading factor preventing target cancellation. ICASSP (2008)