Please join us tomorrow morning for a talk by Joerg Bornschein. The talk will be held at 11:00 am in a room to be determined shortly (probably AA3195).
Title: Parallelized training of nonlinear sparse coding
Abstract:
I'd like to give a short presentation about our work on two closely related nonlinear sparse coding models. Both models are nonlinear in the sense, that they assume active dictionary elements to combine nonlinearly when explaining the observed data. One of the models assumes binary latent variables, the other assumes continuous latents governed by a spike-and-slab prior. We train both models on natural image data and analyze the learned receptive fields. The models are trained using a parallelized EM implementation which we typically run on ~300 CPU cores in parallel. But the implementation demonstrated reasonable (weak) scaling behavior even when running on
1000 CPU cores.
Afficher les réponses par date
A reminder for this morning's talk by Joerg Bornschein. I have not yet received confirmation for AA3195, so the backup room will be AA3256 (LISA lab).
On Mon, Dec 10, 2012 at 4:31 PM, Guillaume Desjardins < guillaume.desjardins@gmail.com> wrote:
Please join us tomorrow morning for a talk by Joerg Bornschein. The talk will be held at 11:00 am in a room to be determined shortly (probably AA3195).
Title: Parallelized training of nonlinear sparse coding
Abstract:
I'd like to give a short presentation about our work on two closely related nonlinear sparse coding models. Both models are nonlinear in the sense, that they assume active dictionary elements to combine nonlinearly when explaining the observed data. One of the models assumes binary latent variables, the other assumes continuous latents governed by a spike-and-slab prior. We train both models on natural image data and analyze the learned receptive fields. The models are trained using a parallelized EM implementation which we typically run on ~300 CPU cores in parallel. But the implementation demonstrated reasonable (weak) scaling behavior even when running on
1000 CPU cores.
lisa_seminaires@iro.umontreal.ca
-
Guillaume Desjardins