Federico Berto
8 papers · 2022–2026 · 4 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
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
🏆
Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Deep Learning
(4)
Architectures
(4)
Learning Types
(4)
Mathematics & Optimization
(3)
Application Areas
(3)
Core Methods
(3)
Optimization
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Mathematics
(1)
Keywords
large language model
(2)
graph neural network
(2)
neural network
(2)
combinatorial optimization
(2)
evolutionary algorithm
(2)
computational efficiency
(1)
deep learning
(1)
reinforcement learning
(1)
spectral analysis
(1)
protein design
(1)
score matching
(1)
generative model
(1)
dynamical system
(1)
spectral method
(1)
trajectory prediction
(1)
autonomous vehicle
(1)
fourier transform
(1)
operator learning
(1)
frequency domain
(1)
surrogate model
(1)
Papers
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
AAAI 2026
USPR: Learning a Unified Solver for Profiled Routing
AAAI 2026
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
NeurIPS 2024
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
NeurIPS 2023
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
ICML 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
NeurIPS 2023
Neural Solvers for Fast and Accurate Numerical Optimal Control
ICLR 2022
Transform Once: Efficient Operator Learning in Frequency Domain
NeurIPS 2022