Florence d'Alch-Buc
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
11
Active years
1997–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Tailoring Mixup to Data for Calibration. | Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alch-Buc |
| 2025 | ICLR | Restyling Unsupervised Concept Based Interpretable Networks with Generative Models. | Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alch-Buc |
| 2024 | AISTATS | Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels. | Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alch-Buc |
| 2022 | ICML | Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. | Luc Brogat-Motte, Rmi Flamary, Cline Brouard, Juho Rousu, Florence d'Alch-Buc |
| 2022 | ICML | Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses. | Alex Lambert, Dimitri Bouche, Zoltn Szab, Florence d'Alch-Buc |
| 2021 | AISTATS | Nonlinear Functional Output Regression: A Dictionary Approach. | Dimitri Bouche, Marianne Clausel, Franois Roueff, Florence d'Alch-Buc |
| 2021 | AISTATS | When OT meets MoM: Robust estimation of Wasserstein Distance. | Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alch-Buc |
| 2020 | ECAI | Identifying the "right" level of explanation in a given situation. | Valrie Beaudouin, Isabelle Bloch, David Bounie, Stphan Clmenon, Florence d'Alch-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh |
| 2020 | ICASSP | Audio-Based Detection of Explicit Content in Music. | Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gal Richard, Florence d'Alch-Buc |
| 2020 | ICML | Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses. | Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alch-Buc |
| 2019 | ACML | Functional Isolation Forest. | Guillaume Staerman, Pavlo Mozharovskyi, Stphan Clmenon, Florence d'Alch-Buc |
| 2019 | AISTATS | Infinite Task Learning in RKHSs. | Romain Brault, Alex Lambert, Zoltn Szab, Maxime Sangnier, Florence d'Alch-Buc |
| 2019 | AISTATS | Autoencoding any Data through Kernel Autoencoders. | Pierre Laforgue, Stphan Clmenon, Florence d'Alch-Buc |
| 2019 | EMNLP | From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. | Alexandre Garcia, Pierre Colombo, Florence d'Alch-Buc, Slim Essid, Chlo Clavel |
| 2018 | ICML | Structured Output Learning with Abstention: Application to Accurate Opinion Prediction. | Alexandre Garcia, Chlo Clavel, Slim Essid, Florence d'Alch-Buc |
| 2017 | ACML | Data sparse nonparametric regression with ε-insensitive losses. | Maxime Sangnier, Olivier Fercoq, Florence d'Alch-Buc |
| 2016 | ACML | Random Fourier Features For Operator-Valued Kernels. | Romain Brault, Markus Heinonen, Florence d'Alch-Buc |
| 2013 | MICCAI | A Multi-task Learning Approach for Compartmental Model Parameter Estimation in DCE-CT Sequences. | Blandine Romain, Vronique Letort, Olivier Lucidarme, Laurence Rouet, Florence d'Alch-Buc |
| 2012 | MICCAI | Registration of Free-Breathing Abdominal 3D Contrast-Enhanced CT. | Blandine Romain, Vronique Letort, Olivier Lucidarme, Florence d'Alch-Buc, Laurence Rouet |
| 2011 | ICML | Semi-supervised Penalized Output Kernel Regression for Link Prediction. | Cline Brouard, Florence d'Alch-Buc, Marie Szafranski |
| 2007 | ICML | Gradient boosting for kernelized output spaces. | Pierre Geurts, Louis Wehenkel, Florence d'Alch-Buc |
| 2006 | ICML | Kernelizing the output of tree-based methods. | Pierre Geurts, Louis Wehenkel, Florence d'Alch-Buc |
| 2005 | IJCNN | Time series filtering, smoothing and learning using the kernel Kalman filter. | Liva Ralaivola, Florence d'Alch-Buc |
| 2003 | ECCB | Gene networks inference using dynamic Bayesian networks. | Bruno-Edouard Perrin, Liva Ralaivola, Aurlien Mazurie, Samuele Bottani, Jacques Mallet, Florence d'Alch-Buc |
| 2002 | ICANN | Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling. | George Siolas, Florence d'Alch-Buc |
| 2001 | ICANN | Boosting Mixture Models for Semi-supervised Learning. | Yves Grandvalet, Florence d'Alch-Buc, Christophe Ambroise |
| 2001 | ICANN | Incremental Support Vector Machine Learning: A Local Approach. | Liva Ralaivola, Florence d'Alch-Buc |
| 2000 | IJCNN | Support Vector Machines Based on a Semantic Kernel for Text Categorization. | George Siolas, Florence d'Alch-Buc |
| 1997 | ICANN | Neural Network Adaptive Modeling of Battery Discharge Behavior. | Olivier Grard, Jean-Nol Patillon, Florence d'Alch-Buc |
| 1997 | ICANN | Optimal Linear Regression on Classifier Outputs. | Yann Guermeur, Florence d'Alch-Buc, Patrick Gallinari |