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Terrell Mundhenk

2 papers · 2021–2022 · 1 venue · 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 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (2)

Top co-authors

Mikel Landajuela (2) Ruben Glatt (2) Claudio P Santiago (2) Brenden K Petersen (2) Garrett Mulcahy (1) Ignacio Aravena (1) Chak Shing Lee (1) Daniel faissol (1) Jiachen Yang (1)

Research topics

Machine Learning (2) Mathematics & Optimization (2) Learning Types · Machine Learning (2) Optimization (2) Optimization & Theory (2) Deep Learning (1) Reinforcement Learning (1) Core Methods (1) Learning Types · Deep Learning (1) Methods (1) Models (1)

Keywords

genetic programming (2) symbolic regression (2) neural-guided search (2) semantic parsing (1) deep learning (1) evolutionary algorithm (1) neural network (1) large-scale pretraining (1) program seeding (1) combinatorial optimization (1) expression discovery (1) reinforcement learning (1) hybrid algorithm (1)

Papers

A Unified Framework for Deep Symbolic Regression NeurIPS 2022 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021