Boris N. Oreshkin

Orcid: 0000-0002-1869-2004

According to our database¹, Boris N. Oreshkin authored at least 46 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2023

3D Human Pose and Shape Estimation via HybrIK-Transformer.

[BibT_eX]

[DOI]

Boris N. Oreshkin

CoRR, 2023

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting.

[BibT_eX]

[DOI]

Cristian Challu

Kin G. Olivares

Boris N. Oreshkin

Federico Garza Ramírez

Max Mergenthaler Canseco

Artur Dubrawski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

Motion Inbetweening via Deep Δ-Interpolator.

[BibT_eX]

[DOI]

CoRR, 2022

SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2022 Technical Communications, 2022

ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Neural forecasting at scale.

[BibT_eX]

[DOI]

CoRR, 2021

ProtoRes: Proto-Residual Architecture for Deep Modeling of Human Pose.

[BibT_eX]

[DOI]

CoRR, 2021

Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adaptive filters for the moving target indicator system.

[BibT_eX]

[DOI]

Boris N. Oreshkin

CoRR, 2020

N-BEATS neural network for mid-term electricity load forecasting.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Grzegorz Dudek

Pawel Pelka

CoRR, 2020

Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs.

[BibT_eX]

[DOI]

CoRR, 2020

Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

CLAREL: Classification via retrieval loss for zero-shot learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

One-Shot Weakly Supervised Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

DECoVaC: Design of Experiments with Controlled Variability Components.

[BibT_eX]

[DOI]

CoRR, 2019

Fine-grained zero-shot recognition with metric rescaling.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptive Masked Weight Imprinting for Few-Shot Segmentation.

[BibT_eX]

[DOI]

Mennatullah Siam

Boris N. Oreshkin

CoRR, 2019

Adaptive Cross-Modal Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Reproducibility in Machine Learning, 2019

AMP: Adaptive Masked Proxies for Few-Shot Segmentation.

[BibT_eX]

[DOI]

Mennatullah Siam

Boris N. Oreshkin

Martin Jägersand

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Uncertainty in Multitask Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2018

TADAM: Task dependent adaptive metric for improved few-shot learning.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Pau Rodríguez López

Alexandre Lacoste

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2017

Deep Prior.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Rate-Based Daily Arrival Process Models with Application to Call Centers.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Nazim Régnard

Pierre L'Ecuyer

Oper. Res., 2016

2013

Uncertainty Driven Probabilistic Voxel Selection for Image Registration.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Tal Arbel

IEEE Trans. Medical Imaging, 2013

Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2013

2012

Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Tal Arbel

Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

2011

Efficient Delay-Tolerant Particle Filtering.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Xuan Liu

M. J. Coates

IEEE Trans. Signal Process., 2011

Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Spatial and probabilistic codebook template based head pose estimation from unconstrained environments.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Greedy gossip with eavesdropping.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Optimization and analysis of distributed averaging with short node memory.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Mark Coates

Michael G. Rabbat

IEEE Trans. Signal Process., 2010

Asynchronous distributed particle filter via decentralized evaluation of Gaussian products.

[BibT_eX]

[DOI]

Boris N. Oreshkin

M. J. Coates

Proceedings of the 13th Conference on Information Fusion, 2010

Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements.

[BibT_eX]

[DOI]

Xuan Liu

Boris N. Oreshkin

M. J. Coates

Proceedings of the 13th Conference on Information Fusion, 2010

2009

Accelerated Distributed Average Consensus via Localized Node State Prediction.

[BibT_eX]

[DOI]

Tuncer C. Aysal

Boris N. Oreshkin

M. J. Coates

IEEE Trans. Signal Process., 2009

The speed of greed: Characterizing myopic gossip through network voracity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Multi-hop Greedy Gossip with Eavesdropping.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

Optimization and analysis of distributed averaging with memory.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Mark J. Coates

Michael G. Rabbat

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Optimization of loading factor preventing target cancellation.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Peter A. Bakulev

Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed average consensus with increased convergence rate.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Tuncer C. Aysal

Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2008

Weak sense Lp error bounds for leader-node distributed particle filters.

[BibT_eX]

[DOI]

Boris N. Oreshkin

Mark Coates

Proceedings of the 11th International Conference on Information Fusion, 2008

Rates of convergence for greedy gossip with eavesdropping.

[BibT_eX]

[DOI]

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Boris N. Oreshkin

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...