78 citations · 121 across the 9 of their papers we have counts for
4 papers · 1 filter
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data
John Just, Sambuddha Ghosal
Advances in deep generative and density models have shown impressive capacity to model complex probability density functions in lower-dimensional space. Also, applying such models…
Encoding Invariances in Deep Generative Models
Viraj Shah, Ameya Joshi, Sambuddha Ghosal +4
Reliable training of generative adversarial networks (GANs) typically require massive datasets in order to model complicated distributions. However, in several applications, traini…
Interpretable deep learning for guided structure-property explorations in photovoltaics
Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate +2
The performance of an organic photovoltaic device is intricately connected to its active layer morphology. This connection between the active layer and device performance is very e…
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS
Chao Liu, Sambuddha Ghosal, Zhanhong Jiang +1
Modern distributed cyber-physical systems (CPSs) encounter a large variety of physical faults and cyber anomalies and in many cases, they are vulnerable to catastrophic fault propa…