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Vyacheslav Kungurtsev

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

15

Venues

12

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

15 indexed papers, newest first.

YearVenueTitleAuthors
2026WACVConcord: Concept-Informed Diffusion for Dataset Distillation.Jianyang Gu, Haonan Wang, Ruoxi Jia, Saeed Vahidian, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen
2025ECAIBinarizing Physics-Inspired GNNs for Combinatorial Optimization.Martin Krutsky, Gustav Sr, Vyacheslav Kungurtsev, Georgios Korpas
2025ICLRGroup Distributionally Robust Dataset Distillation with Risk Minimization.Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen
2024CVPREfficient Dataset Distillation via Minimax Diffusion.Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen
2024ECCVUnlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen
2024ICDCSFederated SGD with Local Asynchrony.Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh
2023AAAIEfficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces.Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2023ICCVWhen Do Curricula Work in Federated Learning?Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2021AAAIAsynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh
2021AAAIElastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh
2019AISTATSLifted Weight Learning of Markov Logic Networks Revisited.Ondrej Kuzelka, Vyacheslav Kungurtsev
2017ICASSPAsynchronous parallel nonconvex large-scale optimization.Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
2017ISITCapacity sensitivity in additive non-Gaussian noise channels.Malcolm Egan, Samir Medina Perlaza, Vyacheslav Kungurtsev
2016ACSSCParallel asynchronous lock-free algorithms for nonconvex big-data optimization.Loris Cannelli, Gesualdo Scutari, Francisco Facchinei, Vyacheslav Kungurtsev
2014ACSSCFlexible selective parallel algorithms for big data optimization.Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari