ProfessorsProfessors of Universität ZürichDimche Kostadinov

Dimche Kostadinov

Universität Zürich

H-index: 7

Europe-Switzerland

About Dimche Kostadinov

Dimche Kostadinov, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Universität Zürich, specializes in the field of Machine Learning, Optimization, Signal Processing, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Continual Learning with Group-wise Neuron Normalization

Zero-shot voice conversion via self-supervised prosody representation learning

Privacy-preserving near neighbor search via sparse coding with ambiguation

Unsupervised feature learning for event data: Direct vs inverse problem formulation

Saliency Diversified Deep Ensemble for Robustness to Adversaries

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction

Online Weight-adaptive Nonlinear Model Predictive Control

Dimche Kostadinov Information

University	Universität Zürich
Position	PostDoc in Machine Learning Robotics and Perception Group at
Citations(all)	245
Citations(since 2020)	136
Cited By	176
hIndex(all)	7
hIndex(since 2020)	6
i10Index(all)	6
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Universität Zürich
Google Scholar	View Google Scholar Profile

Dimche Kostadinov Skills & Research Interests

Machine Learning

Optimization

Signal Processing

Computer Vision

Top articles of Dimche Kostadinov

Title	Journal	Author(s)	Publication Date
Continual Learning with Group-wise Neuron Normalization		Dimche Kostadinov	2022/9/29
Zero-shot voice conversion via self-supervised prosody representation learning		Shijun Wang Damian Borth	2022/7/18
Privacy-preserving near neighbor search via sparse coding with ambiguation		Behrooz Razeghi Sohrab Ferdowsi Dimche Kostadinov Flavio P Calmon Slava Voloshynovskiy	2021/6/6
Unsupervised feature learning for event data: Direct vs inverse problem formulation		Dimche Kostadinov Davide Scaramuzza	2020/9/23
Saliency Diversified Deep Ensemble for Robustness to Adversaries	AAAI Workshop on Adversarial Machine Learning and Beyond	Alex Bogun Dimche Kostadinov Damian Borth	2022/2/28
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction		Konstantin Schürholt Dimche Kostadinov Damian Borth	2021/11
Online Weight-adaptive Nonlinear Model Predictive Control		Dimche Kostadinov Davide Scaramuzza	2020/8/6