Boris N. Oreshkin
11 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (22) π§ Keyword Pioneer π Conference Polyglot (8)
π
Academic Marathon
(6)
π
Renaissance Researcher
(6)
π
Grand Slam
π₯
Unstoppable
(7)
π
Century Club
(11)
Conferences
AAAI (3)
ICLR (2)
ACL (1)
AISTATS (1)
ICCV (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
time series
(2)
time series forecasting
(2)
semantic segmentation
(1)
few-shot learning
(1)
bayesian inference
(1)
uncertainty quantification
(1)
weakly supervised learning
(1)
posterior sampling
(1)
signal decomposition
(1)
laplace approximation
(1)
quantile regression
(1)
object segmentation
(1)
price prediction
(1)
visual semantic embedding
(1)
diffusion model
(1)
contextual bandit
(1)
task adaptation
(1)
residual connection
(1)
gated mechanism
(1)
spatio-temporal forecasting
(1)
Papers
Quantile Regression with Large Language Models for Price Prediction
ACL 2025
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
ICML 2025
MODL: Multilearner Online Deep Learning
AISTATS 2025
Online Posterior Sampling with a Diffusion Prior
NIPS 2024
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
AAAI 2023
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
ICLR 2022
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
AAAI 2021
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
AAAI 2021
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
ICLR 2020
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
IJCAI 2020
AMP: Adaptive Masked Proxies for Few-Shot Segmentation
ICCV 2019