Vasilii Feofanov

32 papers A* 6A 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Layer by layer, module by module: Choose both for optimal OOD probing of ViT. CoRR Ambroise Odonnat, Vasilii Feofanov, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2026	J	`jnl`	MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies. CoRR Vasilii Feofanov, Songkang Wen, Jianfeng Zhang, Lujia Pan, Ievgen Redko
2026	J	`jnl`	UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification. CoRR Yessin Moakher, Youssef Attia El Hili, Vasilii Feofanov
2025	A*	`conf`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. ICML Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. CoRR Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	CauKer: classification time series foundation models can be pretrained on synthetic data only. CoRR Shifeng Xie, Vasilii Feofanov, Marius Alonso, Ambroise Odonnat, Jianfeng Zhang, Themis Palpanas, Ievgen Redko
2025	J	`jnl`	Leveraging Generic Time Series Foundation Models for EEG Classification. CoRR Théo Gnassounou, Yessin Moakher, Shifeng Xie, Vasilii Feofanov, Ievgen Redko
2025	J	`jnl`	Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift. Trans. Mach. Learn. Res. Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2025	J	`jnl`	Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification. CoRR Vasilii Feofanov, Songkang Wen, Marius Alonso, Romain Ilbert, Hongbo Guo, Malik Tiomoko, Lujia Pan, Jianfeng Zhang, Ievgen Redko
2025	J	`jnl`	Self-training: A survey. Neurocomputing Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov
2025	J	`jnl`	Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers. CoRR Simon Roschmann, Quentin Bouniot, Vasilii Feofanov, Ievgen Redko, Zeynep Akata
2025	—	`conf`	User-Friendly Foundation Model Adapters for Multivariate Time Series Classification. ICDEW Romain Ilbert, Vasilii Feofanov, Malik Tiomoko, Ievgen Redko, Themis Palpanas
2024	A*	`conf`	Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. NeurIPS Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. CoRR Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. CoRR Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2024	A	`conf`	Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. AISTATS Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
2024	J	`jnl`	MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. CoRR Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024	A*	`conf`	MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. NeurIPS Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024	J	`jnl`	Measuring Pre-training Data Quality without Labels for Time Series Foundation Models. CoRR Songkang Wen, Vasilii Feofanov, Jianfeng Zhang
2024	J	`jnl`	Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data. J. Mach. Learn. Res. Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2024	A*	`conf`	SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. ICML Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	User-friendly Foundation Model Adapters for Multivariate Time Series Classification. CoRR Vasilii Feofanov, Romain Ilbert, Malik Tiomoko, Themis Palpanas, Ievgen Redko
2023	J	`jnl`	Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. CoRR Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
2023	A*	`conf`	Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption. ICML Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
2023	J	`jnl`	Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption. CoRR Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
2022	J	`jnl`	Self-Training: A Survey. CoRR Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov
2022	J	`jnl`	Wrapper feature selection with partially labeled data. Appl. Intell. Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2021	—	`—`	Learning with Partially Labeled Data for Multi-class Classification and Feature Selection. (Classification Multi-classe et Sélection de Variables avec des Données Partiellement Étiquetées). Vasilii Feofanov
2021	J	`jnl`	Multi-class Probabilistic Bounds for Self-learning. CoRR Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2019	J	`jnl`	Semi-supervised Wrapper Feature Selection with Imperfect Labels. CoRR Vasilii Feofanov, Massih-Reza Amini, Emilie Devijver
2019	A*	`conf`	Transductive Bounds for the Multi-Class Majority Vote Classifier. AAAI Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini