1 code implementation • 10 May 2024 • Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli
We approach designing a state-space model for deep learning applications through its dual representation, the transfer function, and uncover a highly efficient sequence parallel inference algorithm that is state-free: unlike other proposed algorithms, state-free inference does not incur any significant memory or computational cost with an increase in state size.
no code implementations • 26 Jun 2020 • Masahiro Takahashi, Alessandro Moro, Yonghoon Ji, Kazunori Umeda
This paper aims at constructing a light-weight object detector that inputs a depth and a color image from a stereo camera.