3 citations · 4 across the 4 of their papers we have counts for
4 papers
Geometry Preserving Loss Functions Promote Improved Adaptation of Blackbox Generative Model
Sinjini Mitra, Constantine Kyriakakis, Shenyuan Liang +2
Adaptation of blackbox generative models has been widely studied recently through the exploration of several methods including generator fine-tuning, latent space searches, leverag…
Ground Reaction Force Estimation via Time-aware Knowledge Distillation
Eun Som Jeon, Sinjini Mitra, Jisoo Lee +4
Human gait analysis with wearable sensors has been widely used in various applications, such as daily life healthcare, rehabilitation, physical therapy, and clinical diagnostics an…
Graph Network Modeling Techniques for Visualizing Human Mobility Patterns
Sinjini Mitra, Anuj Srivastava, Avipsa Roy +1
Human mobility analysis at urban-scale requires models to represent the complex nature of human movements, which in turn are affected by accessibility to nearby points of interest,…
Learning nuclear cross sections across the chart of nuclides with graph neural networks
Hongjun Choi, Sinjini Mitra, Jason Brodksy +6
In this work, we explore the use of deep learning techniques to learn how nuclear cross sections change as we add or remove protons and neutrons. As a proof of principle, we focus…