Vasilii Feofanov
8 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Conference Pioneer
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Prolific Year · Productive
Top co-authors
Research topics
Keywords
semi-supervised learning
(3)
majority vote classifier
(2)
transductive bound
(2)
random matrix theory
(2)
uncertainty quantification
(2)
multivariate time series
(2)
low density separation
(1)
time series forecasting
(1)
generalization error
(1)
multi-class classification
(1)
matrix norms
(1)
distribution shift
(1)
multi-task regression
(1)
support vector machine
(1)
generalization bound
(1)
foundation model
(1)
out-of-distribution detection
(1)
latent space
(1)
soft label
(1)
long-term forecasting
(1)
Papers
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
ICML 2025
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
NeurIPS 2024
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
AISTATS 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NeurIPS 2024
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data
JMLR 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
ICML 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
ICML 2023
Transductive Bounds for the Multi-Class Majority Vote Classifier
AAAI 2019