Paulo Tabuada

4 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

ICLR (1) ICML (1) JMLR (1) L4DC (1)

Top co-authors

Bahman Gharesifard (2) Álvaro Rodrı́guez Abella (1) Jonathan Bunton (1) João Pedro Silvestre (1) Matteo Marchi (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (3) Optimization & Theory · Machine Learning (3) Core Methods (2) Artificial Intelligence (1) Mathematics & Optimization (1) Core AI (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

universal approximation (2) control theory (2) transformer (1) neural network optimization (1) continuous optimization (1) discrete optimization (1) convergence (1) regularized optimization (1) uniform approximation (1) approximation theory (1) activation function (1) residual network (1) submodular function (1) deep residual network (1) supremum norm (1) neural network (1) control-theoretic interpretation (1) gpt2 (1) attention (1) asymptotics (1)

Papers

Consensus Is All You Get: The Role of Attention in Transformers ICML 2025 Joint Continuous and Discrete Model Selection via Submodularity JMLR 2022 Training deep residual networks for uniform approximation guarantees L4DC 2021 Universal approximation power of deep residual neural networks via nonlinear control theory ICLR 2021