Florence d'Alché-Buc

10 papers · 2016–2025 · 3 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) 💎 Century Club (10) 📈 Trend Setter

Conferences

NIPS (5) JMLR (3) ICLR (2)

Top co-authors

Pavlo Mozharovskyi (4) Jayneel Parekh (3) Quentin Bouniot (2) Céline Brouard (2) Junjie Yang (1) Maxime Sangnier (1) Matthieu Labeau (1) Sanjeel Parekh (1) Marie Szafranski (1) Hugo Larochelle (1)

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