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Boris N. Oreshkin
Boris N. Oreshkin
Principal Scientist at Amazon
Verified email at amazon.com
Title
Cited by
Cited by
Year
TADAM: Task dependent adaptive metric for improved few-shot learning
BN Oreshkin, PR López, A Lacoste
NeurIPS 2018, 2018
14322018
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
BN Oreshkin, D Carpov, N Chapados, Y Bengio
ICLR 2020, 2020
9852020
Adaptive cross-modal few-shot learning
X Chen, N Rostamzadeh, BN Oreshkin, PO Pinheiro
NeurIPS 2019, 4367-4375, 2019
280*2019
N-HiTS: Neural hierarchical interpolation for time series forecasting
C Challu, KG Olivares, BN Oreshkin, F Garza, M Mergenthaler, ...
AAAI 2023, 2023
2042023
AMP: Adaptive masked proxies for few-shot segmentation
M Siam, BN Oreshkin, M Jagersand
ICCV 2019, 2019
2042019
Machine learning approaches to network anomaly detection
T Ahmed, B Oreshkin, M Coates
SysML: 2nd USENIX workshop on Tackling computer systems problems with …, 2007
2032007
Optimization and analysis of distributed averaging with short node memory
BN Oreshkin, MJ Coates, MG Rabbat
IEEE Transactions on Signal Processing 58 (5), 2850-2865, 2010
1362010
N-BEATS neural network for mid-term electricity load forecasting
BN Oreshkin, G Dudek, P Pełka, E Turkina
Applied Energy 293, 2021
1352021
Accelerated distributed average consensus via localized node state prediction
TC Aysal, BN Oreshkin, MJ Coates
IEEE Transactions on signal processing 57 (4), 1563-1576, 2008
1192008
Meta-learning framework with applications to zero-shot time-series forecasting
BN Oreshkin, D Carpov, N Chapados, Y Bengio
AAAI 2021, 2021
862021
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
BN Oreshkin, A Amini, L Coyle, MJ Coates
AAAI 2021, 2021
802021
Regional innovation clusters and firm innovation performance: An interactionist approach
E Turkina, B Oreshkin, R Kali
Regional Studies 53 (8), 1193-1206, 2019
762019
Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs
P L’Ecuyer, D Munger, B Oreshkin, R Simard
Mathematics and Computers in Simulation 135, 3-17, 2017
75*2017
Asynchronous distributed particle filter via decentralized evaluation of Gaussian products
BN Oreshkin, MJ Coates
2010 13th International Conference on Information Fusion, 1-8, 2010
682010
Greedy gossip with eavesdropping
D Ustebay, BN Oreshkin, MJ Coates, MG Rabbat
IEEE Transactions on Signal Processing 58 (7), 3765-3776, 2010
602010
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs
M Siam, N Doraiswamy, BN Oreshkin, H Yao, M Jagersand
IJCAI 2020, 2020
52*2020
Rate-based daily arrival process models with application to call centers
BN Oreshkin, N Réegnard, P L’Ecuyer
Operations Research 64 (2), 510-527, 2016
442016
Microwave radar and microwave-induced thermoacoustics: Dual-modality approach for breast cancer detection
E Kirshin, B Oreshkin, GK Zhu, M Popovic, M Coates
IEEE Transactions on Biomedical Engineering 60 (2), 354-360, 2012
322012
Adaptive masked weight imprinting for few-shot segmentation
M Siam, B Oreshkin
LLD Workshop @ ICLR 2019, 2019
27*2019
Efficient delay-tolerant particle filtering
BN Oreshkin, X Liu, MJ Coates
IEEE Transactions on Signal Processing 59 (7), 3369-3381, 2011
252011
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Articles 1–20