output
20072025
most citedFitness landscape of the cellular automata majority problem: View from the Olympus

30 citations

Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?

Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi +5

Tri-Planar NeRFs enable the application of powerful 2D vision models for 3D tasks, by representing 3D objects using 2D planar structures. This has made them the prevailing choice t…

cs.CV2024

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi +5

While pre-trained image autoencoders are increasingly utilized in computer vision, the application of inverse graphics in 2D latent spaces has been under-explored. Yet, besides red…

q-bio.NC2024★ 10 cited

Precise spiking motifs in neurobiological and neuromorphic data

Antoine Grimaldi, Amélie Gruel, Camille Besnainou +3

Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, exist…

cs.CV2024

Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi +5

We present a method enabling the scaling of NeRFs to learn a large number of semantically-similar scenes. We combine two techniques to improve the required training time and memory…

cs.PL2024

Strong Priority and Determinacy in Timed CCS

Luigi Liquori, Michael Mendler

Building on the standard theory of process algebra with priorities, we identify a new scheduling mechanism, called "constructive reduction" which is designed to capture the essence…