معرفی
Sebastian Dalleiger is an Assistant Professor at the Division of Theoretical Computer Science, Kungliga Tekniska Högskolan (KTH Royal Institute of Technology). His research focuses on theoretical foundations of machine learning, data mining, and graph theory, with particular expertise in matrix factorization, pattern discovery, and hypergraph analysis.
- Current affiliation: KTH Royal Institute of Technology
- Department: Theoretical Computer Science
- Email: sdall@kth.se
His recent work explores federated learning architectures, non-negative matrix factorization, and structural analysis of stochastic block models across multiple graphs. He develops algorithms combining proximal optimization with privacy-preserving techniques, addressing challenges in distributed data analysis.
Publications demonstrate interdisciplinary applications in network science, information theory, and computational geometry. Key contributions include novel frameworks for Ollivier-Ricci curvature in hypergraphs and sequential false discovery control for pattern mining.
Sebastian Dalleiger در سایتهای دیگر
جستوجوهای مرتبط
شاید اینها هم برایتان مناسب باشند
Sebastian DalleigerSwiss Federal Institute of Technology in Lausanne · استادیار- RRaghav BongoleKTH Royal Institute of Technology · پژوهشگر
- VVoravit TanyingyongKTH Royal Institute of Technology · مدرس
- SSijing TuKTH Royal Institute of Technology · پژوهشگر
- AAristides GionisKTH Royal Institute of Technology · استاد
Xiaoming HuKTH Royal Institute of Technology · استاد