◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

R. Veiga

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cond-mat.stat-mech1
same name
  • R. Veiga — 2 papers, h 1
  • R. Veiga — 1 paper, h 1
  • R. Veiga — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLearning curves for the multi-class teacher-student perceptron

17 citations · 17 across the 1 of their papers we have counts for

collaborators

3 papers

stat.ML2022★ 17 cited

Learning curves for the multi-class teacher-student perceptron

Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga +3

One of the most classical results in high-dimensional learning theory provides a closed-form expression for the generalisation error of binary classification with the single-layer…

stat.ML2022

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro +2

Despite the non-convex optimization landscape, over-parametrized shallow networks are able to achieve global convergence under gradient descent. The picture can be radically differ…

cond-mat.stat-mech2020

Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models

Rodrigo Veiga, Renato Vicente

We explore alternative experimental setups for the iterative sampling (flow) from Restricted Boltzmann Machines (RBM) mapped on the temperature space of square lattice Ising models…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.