Brando Miranda

Identifiers

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Papers (7)

1. In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores cs.CL · 2026 · author #6
2. A Surprising Linear Relationship Predicts Test Performance in Deep Networks cs.LG · 2018 · author #2
3. Theory IIIb: Generalization in Deep Networks cs.LG · 2018 · author #3
4. Digital Fourier transform spectroscopy: a high-performance, scalable technology for on-chip spectrum analysis physics.app-ph · 2018 · author #2
5. Theory of Deep Learning IIb: Optimization Properties of SGD cs.LG · 2018 · author #4
6. Theory of Deep Learning III: explaining the non-overfitting puzzle cs.LG · 2017 · author #4
7. Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review cs.LG · 2016 · author #4

Mentions

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Frequent Coauthors

• Qianli Liao 5 shared papers
• Tomaso Poggio 5 shared papers
• Jack Hidary 3 shared papers
• Andrzej Banburski 2 shared papers
• Hrushikesh Mhaskar 2 shared papers
• Lorenzo Rosasco 2 shared papers
• Xavier Boix 2 shared papers
• Alexander Rakhlin 1 shared papers
• Chiyuan Zhang 1 shared papers
• David Bono 1 shared papers
• David Favela 1 shared papers
• Deonna Owens 1 shared papers
• Derek M. Kita 1 shared papers
• Hongtao Lin 1 shared papers
• Jerome Michon 1 shared papers
• Juejun Hu 1 shared papers
• Kenji Kawaguchi 1 shared papers
• Noah Golowich 1 shared papers
• Sang T. Truong 1 shared papers
• Sanmi Koyejo 1 shared papers