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Boris N. Oreshkin
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2020 – today
- 2024
- [j9]Boris N. Oreshkin
, Antonios Valkanas
Motion In-Betweening via Deep $\Delta$Δ-Interpolator. IEEE Trans. Vis. Comput. Graph. 30(8): 5693-5704 (2024) - [i31]Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek:
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. CoRR abs/2404.17451 (2024) - [i30]Antonios Valkanas, Boris N. Oreshkin, Mark Coates:
MODL: Multilearner Online Deep Learning. CoRR abs/2405.18281 (2024) - [i29]Theodore Glavas, Joud Chataoui, Florence Regol, Wassim Jabbour, Antonios Valkanas, Boris N. Oreshkin, Mark Coates:
Dynamic layer selection in decoder-only transformers. CoRR abs/2410.20022 (2024) - [i28]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-Bélair:
♠ SPADE ♠ Split Peak Attention DEcomposition. CoRR abs/2411.05852 (2024) - [i27]Mateusz Kasprzyk, Pawel Pelka, Boris N. Oreshkin, Grzegorz Dudek:
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting. CoRR abs/2412.02722 (2024) - 2023
- [c24]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: 6989-6997 - [i26]Boris N. Oreshkin:
3D Human Pose and Shape Estimation via HybrIK-Transformer. CoRR abs/2302.04774 (2023) - 2022
- [c23]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 - [c22]Vikram Voleti
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. SIGGRAPH Asia Technical Communications 2022: 1:1-1:7 - [i25]Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates:
Motion Inbetweening via Deep Δ-Interpolator. CoRR abs/2201.06701 (2022) - [i24]Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski:
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. CoRR abs/2201.12886 (2022) - [i23]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 abs/2208.08274 (2022) - 2021
- [c21]Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates:
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. AAAI 2021: 9233-9241 - [c20]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. AAAI 2021: 9242-9250 - [i22]Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Bay Raitt, Dominic Laflamme:
ProtoRes: Proto-Residual Architecture for Deep Modeling of Human Pose. CoRR abs/2106.01981 (2021) - [i21]Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude, Boris N. Oreshkin:
Neural forecasting at scale. CoRR abs/2109.09705 (2021) - 2020
- [c19]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops 2020: 3989-3993 - [c18]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. ICLR 2020 - [c17]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: 860-867 - [i20]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 abs/2001.09540 (2020) - [i19]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
Meta-learning framework with applications to zero-shot time-series forecasting. CoRR abs/2002.02887 (2020) - [i18]Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark J. Coates:
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. CoRR abs/2007.15531 (2020) - [i17]Boris N. Oreshkin, Grzegorz Dudek, Pawel Pelka:
N-BEATS neural network for mid-term electricity load forecasting. CoRR abs/2009.11961 (2020) - [i16]Boris N. Oreshkin, Tal Arbel:
Uncertainty driven probabilistic voxel selection for image registration. CoRR abs/2010.00988 (2020) - [i15]Boris N. Oreshkin, Tal Arbel:
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration. CoRR abs/2010.02505 (2020) - [i14]Boris N. Oreshkin, Peter A. Bakulev:
Optimization of loading factor preventing target cancellation. CoRR abs/2010.07010 (2020) - [i13]Boris N. Oreshkin:
Adaptive filters for the moving target indicator system. CoRR abs/2012.15440 (2020)
2010 – 2019
- 2019
- [c16]Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand:
AMP: Adaptive Masked Proxies for Few-Shot Segmentation. ICCV 2019: 5248-5257 - [c15]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 - [c14]Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-shot Learning. NeurIPS 2019: 4848-4858 - [i12]Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-Shot Learning. CoRR abs/1902.07104 (2019) - [i11]Mennatullah Siam, Boris N. Oreshkin:
Adaptive Masked Weight Imprinting for Few-Shot Segmentation. CoRR abs/1902.11123 (2019) - [i10]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. CoRR abs/1905.10437 (2019) - [i9]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
Fine-grained zero-shot recognition with metric rescaling. CoRR abs/1906.11892 (2019) - [i8]Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise:
DECoVaC: Design of Experiments with Controlled Variability Components. CoRR abs/1909.09859 (2019) - [i7]Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
One-Shot Weakly Supervised Video Object Segmentation. CoRR abs/1912.08936 (2019) - 2018
- [c13]Boris N. Oreshkin, Pau Rodríguez López, Alexandre Lacoste:
TADAM: Task dependent adaptive metric for improved few-shot learning. NeurIPS 2018: 719-729 - [i6]Boris N. Oreshkin, Pau Rodríguez López, Alexandre Lacoste:
TADAM: Task dependent adaptive metric for improved few-shot learning. CoRR abs/1805.10123 (2018) - [i5]Alexandre Lacoste, Boris N. Oreshkin, Wonchang Chung, Thomas Boquet, Negar Rostamzadeh, David Krueger:
Uncertainty in Multitask Transfer Learning. CoRR abs/1806.07528 (2018) - 2017
- [j8]Pierre L'Ecuyer
Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs. Math. Comput. Simul. 135: 3-17 (2017) - [i4]Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris N. Oreshkin, Wonchang Chung, David Krueger:
Deep Prior. CoRR abs/1712.05016 (2017) - 2016
- [j7]Boris N. Oreshkin, Nazim Régnard, Pierre L'Ecuyer
Rate-Based Daily Arrival Process Models with Application to Call Centers. Oper. Res. 64(2): 510-527 (2016) - 2013
- [j6]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): 354-360 (2013) - [j5]Boris N. Oreshkin, Tal Arbel:
Uncertainty Driven Probabilistic Voxel Selection for Image Registration. IEEE Trans. Medical Imaging 32(10): 1777-1790 (2013) - 2012
- [c12]Boris N. Oreshkin, Tal Arbel:
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration. WBIR 2012: 150-159 - 2011
- [j4]Boris N. Oreshkin, Xuan Liu, M. J. Coates:
Efficient Delay-Tolerant Particle Filtering. IEEE Trans. Signal Process. 59(7): 3369-3381 (2011) - [c11]Meltem Demirkus, Boris N. Oreshkin, James J. Clark
Spatial and probabilistic codebook template based head pose estimation from unconstrained environments. ICIP 2011: 573-576 - [c10]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: 113-116 - 2010
- [j3]Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Optimization and analysis of distributed averaging with short node memory. IEEE Trans. Signal Process. 58(5): 2850-2865 (2010) - [j2]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Greedy gossip with eavesdropping. IEEE Trans. Signal Process. 58(7): 3765-3776 (2010) - [c9]Xuan Liu, Boris N. Oreshkin, M. J. Coates:
Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements. FUSION 2010: 1-8 - [c8]Boris N. Oreshkin, M. J. Coates:
Asynchronous distributed particle filter via decentralized evaluation of Gaussian products. FUSION 2010: 1-8 - [i3]Boris N. Oreshkin, Xuan Liu, Mark Coates:
Efficient delay-tolerant particle filtering. CoRR abs/1009.4409 (2010)
2000 – 2009
- 2009
- [j1]Tuncer C. Aysal, Boris N. Oreshkin, M. J. Coates:
Accelerated Distributed Average Consensus via Localized Node State Prediction. IEEE Trans. Signal Process. 57(4): 1563-1576 (2009) - [c7]Boris N. Oreshkin, Mark J. Coates, Michael G. Rabbat:
Optimization and analysis of distributed averaging with memory. Allerton 2009: 347-354 - [c6]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Multi-hop Greedy Gossip with Eavesdropping. FUSION 2009: 140-145 - [c5]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
The speed of greed: Characterizing myopic gossip through network voracity. ICASSP 2009: 3665-3668 - [i2]Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Optimization and Analysis of Distributed Averaging with Short Node Memory. CoRR abs/0903.3537 (2009) - [i1]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Greedy Gossip with Eavesdropping. CoRR abs/0909.1830 (2009) - 2008
- [c4]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Rates of convergence for greedy gossip with eavesdropping. Allerton 2008: 367-374 - [c3]Boris N. Oreshkin, Mark Coates:
Weak sense Lp error bounds for leader-node distributed particle filters. FUSION 2008: 1-7 - [c2]Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates:
Distributed average consensus with increased convergence rate. ICASSP 2008: 2285-2288 - [c1]Boris N. Oreshkin, Peter A. Bakulev:
Optimization of loading factor preventing target cancellation. ICASSP 2008: 2329-2332
Coauthor Index
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