Egor Bakaev

works on

convex bodies 1 geometric inequalities 1 planar convex geometry 1 plank covering 1 volume maximization 1

From the 1 of 6 linked papers with an AI index.

collaborators

Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

Better Neural Network Expressivity: Subdividing the Simplex

Egor Bakaev, Florestan Brunck, Christoph Hertrich +2

This work studies the expressivity of ReLU neural networks with a focus on their depth. A sequence of previous works showed that $⌈ lo g_{2} (n + 1)⌉$ hidden layers are suffi…

cs.LG2025

On the Depth of Monotone ReLU Neural Networks and ICNNs

Egor Bakaev, Florestan Brunck, Christoph Hertrich +2

We study two models of ReLU neural networks: monotone networks (ReLU $^{+}$ ) and input convex neural networks (ICNN). Our focus is on expressivity, mostly in terms of depth, and we pr…