Felipe Llinares-López
7 papers · 2016–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🗺️ Taxonomy Completionist (15)
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Keyword Pioneer
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Hot Topic Early Bird
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Trend Setter
Conferences
NIPS (5)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
wasserstein distance
(1)
semi-supervised learning
(1)
imitation learning
(1)
feature selection
(1)
graph classification
(1)
hyperparameter optimization
(1)
knowledge distillation
(1)
automatic differentiation
(1)
statistical testing
(1)
gradient descent
(1)
parameter optimization
(1)
implicit differentiation
(1)
multilabel classification
(1)
high-dimensional datum
(1)
energy-based model
(1)
bi-level optimization
(1)
node feature
(1)
graph kernel
(1)
fenchel-young loss
(1)
weisfeiler-lehman algorithm
(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
NIPS 2023
Learning Energy Networks with Generalized Fenchel-Young Losses
NIPS 2022
Efficient and Modular Implicit Differentiation
NIPS 2022
Wasserstein Weisfeiler-Lehman Graph Kernels
NIPS 2019
Finding significant combinations of features in the presence of categorical covariates
NIPS 2016