Suhas Shrinivasan

According to our database, Suhas Shrinivasan authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors.

Finn Schmidt, Suhas Shrinivasan, Polina Turishcheva, Fabian H. Sinz

CoRR, 2024

2023

Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system.

Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Edgar Y. Walker, Fabian H. Sinz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

How Stable is Knowledge Base Knowledge?

Suhas Shrinivasan, Simon Razniewski

CoRR, 2022

Can Functional Transfer Methods Capture Simple Inductive Biases?

Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian H. Sinz

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2019

No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy.

Amit Samanta, Suhas Shrinivasan, Antoine Kaufmann, Jonathan Mace

CoRR, 2019