Florence d'Alché-Buc
10 papers · 2016–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3)
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Academic Marathon
(9)
🐝
Cross-Pollinator
(15)
🌈
Renaissance Researcher
(6)
💎
Century Club
(10)
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Trend Setter
Conferences
NIPS (5)
JMLR (3)
ICLR (2)
Top co-authors
Keywords
structured prediction
(2)
reproducing kernel hilbert space
(2)
multi-task learning
(1)
graph prediction
(1)
optimal transport
(1)
multi-label classification
(1)
interpretable machine learning
(1)
structured output prediction
(1)
feature embedding
(1)
image reconstruction
(1)
nonnegative matrix factorization
(1)
ridge regression
(1)
quantile regression
(1)
coordinate descent
(1)
semi-supervised learning
(1)
audio classification
(1)
multi-task regression
(1)
label ranking
(1)
conditional quantile
(1)
link prediction
(1)
Papers
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
ICLR 2025
Tailoring Mixup to Data for Calibration
ICLR 2025
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NIPS 2024
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
JMLR 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
NIPS 2022
A Framework to Learn with Interpretation
NIPS 2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
A Structured Prediction Approach for Label Ranking
NIPS 2018
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels
JMLR 2016
Joint quantile regression in vector-valued RKHSs
NIPS 2016