Mikel Landajuela
5 papers · 2021–2026 · 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
Jump to papers ↓+2 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (13)
π
Keyword Champion
(2)
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Core AI
(2)
Core Methods
(2)
Methods
(2)
Deep Learning
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
symbolic regression
(3)
combinatorial optimization
(2)
neural-guided search
(2)
neural network
(2)
genetic programming
(2)
hybrid algorithm
(1)
semantic parsing
(1)
deep learning
(1)
continuous optimization
(1)
discrete optimization
(1)
protein structure prediction
(1)
generative model
(1)
autoregressive model
(1)
decision tree
(1)
evolutionary algorithm
(1)
drug discovery
(1)
symbolic policy
(1)
protein-protein interaction
(1)
generative design
(1)
hybrid space
(1)
Papers
Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines β an Emerging Trend
AAAI 2026
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
AAAI 2025
A Unified Framework for Deep Symbolic Regression
NeurIPS 2022
Discovering symbolic policies with deep reinforcement learning
ICML 2021
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
NeurIPS 2021