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Showing papers from FGV EMAp Show all papers

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NeurIPS 2026SpotlightFGV - EMApUniversidade Federal de ViçosaAvraFGV EMApUniversidade Federal Rural do RiGraph neural networks

Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective

André Ribeiro Guimarães, Germano Barcelos, Amauri Souza, Diego Mesquita and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026FGV EMApIMPAFGV Emapgoogle.comOptimization

Functional Gradient Descent with Adaptive Representations

Functional gradient descent with adaptive representations converges to stationary points or global minimizers despite approximation errors and outperforms fixed approximations and neural network baselines.

Daniel Csillag, Rodrigo Schuller, Pedro Dall’Antonia, Leonidas Guibas and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 2/5