Scholar
Shuchin Aeron
Google Scholar ID: T7TUmRMAAAAJ
Professor, Electrical and Computer Engineering, Tufts University
Citations & Impact
Citations
3,004
H-index
22
i10-index
39
Publications
20
Co-authors
26
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - 'Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models' in Methods
- - 'On Neural Collapse in Contrastive Learning with Imbalanced Datasets' at the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
- - 'Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications' on arXiv
- - 'Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport' on arXiv
- - 'Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling' in Journal of Machine Learning Research
- Additionally, received the Best Paper Award at IEEE MLSP.
Research Experience
- Serves as a Senior Investigator at Tufts University, conducting research in various fields such as statistical signal processing, information theory, etc.
Background
- Research interests include statistical signal processing, information theory, high-dimensional statistics and machine learning, optimal transport, generative models, sparse models for signal processing, and contrastive representation learning. Affiliated with the Department of Electrical and Computer Engineering at Tufts University, and is a Senior Investigator at NSF IAIFI, and Affiliate Faculty in the Department of Computer Science and Mathematics at Tufts University.
