2 citations · 2 across the 3 of their papers we have counts for
4 papers
Beyond Pixels: A Differentiable Pipeline for Probing Neuronal Selectivity in 3D
Pavithra Elumalai, Mohammad Bashiri, Goirik Chakrabarty +2
Visual perception relies on inference of 3D scene properties such as shape, pose, and lighting. To understand how visual sensory neurons enable robust perception, it is crucial to…
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan +1
The neural activity in the visual processing is influenced by both external stimuli and internal brain states. Ideally, a neural predictive model should account for both of them. C…
How Stable is Knowledge Base Knowledge?
Suhas Shrinivasan, Simon Razniewski
Knowledge Bases (KBs) provide structured representation of the real-world in the form of extensive collections of facts about real-world entities, their properties and relationship…
No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy
Amit Samanta, Suhas Shrinivasan, Antoine Kaufmann +1
With the rise of machine learning, inference on deep neural networks (DNNs) has become a core building block on the critical path for many cloud applications. Applications today re…