Antônio H. Ribeiro

5 papers · 2020–2025 · 3 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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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze

🏆 Keyword Champion ❓ The Questioner

Venues

AISTATS (2) ICML (2) NeurIPS (1)

Top co-authors

Danica Kragic (2) Mårten Björkman (2) Farzaneh Taleb (2) Thomas B. Schön (2) Miguel Vasco (2) Dave Zachariah (1) Thomas Schön (1) Francis Bach (1) Daniel Gedon (1) Koen Tiels (1)

Research topics

Machine Learning (5) Core Methods (3) Artificial Intelligence (2) Deep Learning (2) Healthcare & Medicine (2) Mathematics & Optimization (2) Architectures (2) Core AI (2) Optimization (2) Optimization & Theory (2) Research (2) Interdisciplinary (1) Cognitive Science (1) Learning Types (1)

Keywords

representation learning (1) robust optimization (1) convex optimization (1) model misspecification (1) human perception (1) ridge regression (1) adversarial training (1) theoretical analysis (1) linear classification (1) sensory perception (1) attractor dynamics (1) principal component regression (1) projected gradient descent (1) gradient descent optimization (1) random matrix theory (1) high-dimensional data (1) recurrent neural network (1) representation alignment (1) olfactory perception (1) chemical structure (1)

Papers

Efficient Optimization Algorithms for Linear Adversarial Training AISTATS 2025 Human-Aligned Image Models Improve Visual Decoding from the Brain ICML 2025 Can Transformers Smell Like Humans? NeurIPS 2024 No Double Descent in Principal Component Regression: A High-Dimensional Analysis ICML 2024 Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness AISTATS 2020