Alvaro Sanchez-Gonzalez
Alvaro Sanchez-Gonzalez has 2 papers in our library, in 2018–2020; often with Peter Battaglia, Adam Santoro, Caglar Gulcehre.
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📄 2 works in our library · 🔗 Cited 208 times in our library · ⭐ Paper Stars ranking: #1311
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksMaterials Chemistry · 1 workMaterials Science · 1 workPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work
Works by year
2020s
2010s
Papers
- Relational inductive biases, deep learning, and graph networks (2018 · 2,335 citations)
Deep learning has advanced quickly on the back of cheap data and compute, yet it still handles poorly a skill people show from infancy: reusing familiar pieces to reason about situations never seen before. - Discovering Symbolic Models from Deep Learning with Inductive Biases (2020 · 272 citations)
Symbolic regression produces compact, interpretable formulas, but its search cost grows exponentially with the number of inputs.
Co-authors here
- Peter Battaglia ×2
- Adam Santoro
- Caglar Gulcehre
- David Raposo
- Francis Song
- Mateusz Malinowski
- Miles Cranmer
- Rui Xu
- Ryan Faulkner
Cited by
Updated
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