Felipe Llinares-López
7 papers · 2016–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(5)
Core Methods
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
implicit differentiation
(2)
bilevel optimization
(2)
imitation learning
(1)
regularization
(1)
feature selection
(1)
graph classification
(1)
hyperparameter optimization
(1)
knowledge distillation
(1)
multi-label classification
(1)
automatic differentiation
(1)
hypothesis testing
(1)
statistical testing
(1)
gradient descent
(1)
parameter optimization
(1)
high-dimensional data
(1)
language model
(1)
energy-based model
(1)
node feature
(1)
graph kernel
(1)
first-order optimization
(1)
Papers
Implicit Diffusion: Efficient optimization through stochastic sampling
AISTATS 2025
Decoding-time Realignment of Language Models
ICML 2024
Differentiable Clustering with Perturbed Spanning Forests
NeurIPS 2023
Efficient and Modular Implicit Differentiation
NeurIPS 2022
Learning Energy Networks with Generalized Fenchel-Young Losses
NeurIPS 2022
Wasserstein Weisfeiler-Lehman Graph Kernels
NeurIPS 2019
Finding significant combinations of features in the presence of categorical covariates
NeurIPS 2016