Landajuela, Mikel

8 publications

AAAI 2025 DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces Jacob F. Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel M. Faissol, Brenden K. Petersen, Mikel Landajuela

NeurIPSW 2024 Antibody Library Design by Seeding Linear Programming with Inverse Folding and Protein Language Models Conor F. Hayes, Andre R Goncalves, Steven Alan Magana-Zook, Ahmet Can Solak, Daniel Faissol, Mikel Landajuela

NeurIPSW 2024 Computational Antigen Optimization Through Symbolic Optimization and Affinity Maturation Simulation Jonathan G. Faris, Mikel Landajuela, Kayla G. Sprenger, Daniel Faissol, Felipe Leno da Silva

ICMLW 2024 Generative Design of Decision Tree Policies for Reinforcement Learning Jacob Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel Faissol, Brenden K. Petersen, Mikel Landajuela

NeurIPS 2022 A Unified Framework for Deep Symbolic Regression Mikel Landajuela, Chak Shing Lee, Jiachen Yang, Ruben Glatt, Claudio P Santiago, Ignacio Aravena, Terrell Mundhenk, Garrett Mulcahy, Brenden K Petersen

ICML 2021 Discovering Symbolic Policies with Deep Reinforcement Learning Mikel Landajuela, Brenden K Petersen, Sookyung Kim, Claudio P Santiago, Ruben Glatt, Nathan Mundhenk, Jacob F Pettit, Daniel Faissol

ICMLW 2021 Incorporating Domain Knowledge into Neural-Guided Search via in Situ Priors and Constraints Brenden K Petersen, Claudio Santiago, Mikel Landajuela

NeurIPS 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding Terrell Mundhenk, Mikel Landajuela, Ruben Glatt, Claudio P Santiago, Daniel Faissol, Brenden K Petersen