Boris N. Oreshkin

Orcid: 0000-0002-1869-2004

According to our database1, Boris N. Oreshkin authored at least 50 papers between 2008 and 2024.

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

2024
Motion In-Betweening via Deep $\Delta$Δ-Interpolator.
IEEE Trans. Vis. Comput. Graph., August, 2024

Dynamic layer selection in decoder-only transformers.
CoRR, 2024

MODL: Multilearner Online Deep Learning.
CoRR, 2024

Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand.
CoRR, 2024

2023
3D Human Pose and Shape Estimation via HybrIK-Transformer.
CoRR, 2023

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting.
CoRR, 2022

Motion Inbetweening via Deep Δ-Interpolator.
CoRR, 2022

SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows.
Proceedings of the SIGGRAPH Asia 2022 Technical Communications, 2022

ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Neural forecasting at scale.
CoRR, 2021

ProtoRes: Proto-Residual Architecture for Deep Modeling of Human Pose.
CoRR, 2021

Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adaptive filters for the moving target indicator system.
CoRR, 2020

N-BEATS neural network for mid-term electricity load forecasting.
CoRR, 2020

Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs.
CoRR, 2020

Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Proceedings of the 8th International Conference on Learning Representations, 2020

CLAREL: Classification via retrieval loss for zero-shot learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
One-Shot Weakly Supervised Video Object Segmentation.
CoRR, 2019

DECoVaC: Design of Experiments with Controlled Variability Components.
CoRR, 2019

Fine-grained zero-shot recognition with metric rescaling.
CoRR, 2019

Adaptive Masked Weight Imprinting for Few-Shot Segmentation.
CoRR, 2019

Adaptive Cross-Modal Few-shot Learning.
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.
Proceedings of the Reproducibility in Machine Learning, 2019

AMP: Adaptive Masked Proxies for Few-Shot Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Uncertainty in Multitask Transfer Learning.
CoRR, 2018

TADAM: Task dependent adaptive metric for improved few-shot learning.
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.
Math. Comput. Simul., 2017

Deep Prior.
CoRR, 2017

2016
Rate-Based Daily Arrival Process Models with Application to Call Centers.
Oper. Res., 2016

2013
Uncertainty Driven Probabilistic Voxel Selection for Image Registration.
IEEE Trans. Medical Imaging, 2013

Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection.
IEEE Trans. Biomed. Eng., 2013

2012
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

2011
Efficient Delay-Tolerant Particle Filtering.
IEEE Trans. Signal Process., 2011

Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection.
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.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Greedy gossip with eavesdropping.
IEEE Trans. Signal Process., 2010

Optimization and analysis of distributed averaging with short node memory.
IEEE Trans. Signal Process., 2010

Asynchronous distributed particle filter via decentralized evaluation of Gaussian products.
Proceedings of the 13th Conference on Information Fusion, 2010

Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Accelerated Distributed Average Consensus via Localized Node State Prediction.
IEEE Trans. Signal Process., 2009

The speed of greed: Characterizing myopic gossip through network voracity.
Proceedings of the IEEE International Conference on Acoustics, 2009

Multi-hop Greedy Gossip with Eavesdropping.
Proceedings of the 12th International Conference on Information Fusion, 2009

Optimization and analysis of distributed averaging with memory.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Optimization of loading factor preventing target cancellation.
Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed average consensus with increased convergence rate.
Proceedings of the IEEE International Conference on Acoustics, 2008

Weak sense Lp error bounds for leader-node distributed particle filters.
Proceedings of the 11th International Conference on Information Fusion, 2008

Rates of convergence for greedy gossip with eavesdropping.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008


  Loading...