معرفی
Ella Tamir is a Visiting Professor at the Department of Computer Science, School of Science, University of Helsinki. She concurrently holds a Doctoral Student position. Her research focuses on stochastic processes, neural networks, and sequential learning.
Education:
- Master's degree in Natural Sciences, University of Helsinki (2017)
- Bachelor's degree in Natural Sciences, University of Helsinki (2016)
Research Interests: She explores stochastic differential equations, function-space representations, and diffusion processes. Her work emphasizes applications in neural networks, data generation, and sequential learning. Recent studies involve diffusion generative models for particle smoothing and sparse parameterization techniques.
Research Output: Her recent publications address topics like function-space neural networks, diffusion bridges for time series, and scalable inference methods. These contributions highlight advancements in both theoretical and applied machine learning domains.
Grants & Advising: No specific grants or advisees are listed in the provided materials.
Labs/Teams: No lab affiliations or team collaborations are explicitly mentioned.
