No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy. - Amit Samanta 001; Suhas Shrinivasan; Antoine Kaufmann; Jonathan Mace (CoRR, 2019)

Can Functional Transfer Methods Capture Simple Inductive Biases? - Arne Nix; Suhas Shrinivasan; Edgar Y. Walker; Fabian H. Sinz (AISTATS, 2022)

How Stable is Knowledge Base Knowledge? - Suhas Shrinivasan; Simon Razniewski (CoRR, 2022)

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 (NeurIPS, 2023)

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)