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ORCIDJean-Philippe Vert
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- affiliation: PSL University, France
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2020 – today
- 2023
[j46]Nelle Varoquaux
, William S. Noble, Jean-Philippe Vert:
Inference of 3D genome architecture by modeling overdispersion of Hi-C data. Bioinform. 39(1) (2023)- [c50]Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert:
Regression as Classification: Influence of Task Formulation on Neural Network Features. AISTATS 2023: 11563-11582 - 2022
- [j45]Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble:
Multimodal Single-Cell Translation and Alignment with Semi-Supervised Learning. J. Comput. Biol. 29(11): 1198-1212 (2022) - [j44]Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert:
On Mixup Regularization. J. Mach. Learn. Res. 23: 325:1-325:31 (2022) - [c49]Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert:
Efficient and Modular Implicit Differentiation. NeurIPS 2022 - [c48]Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble:
Semi-supervised Single-Cell Cross-modality Translation Using Polarbear. RECOMB 2022: 20-35 - [i32]Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert:
Scaling ResNets in the Large-depth Regime. CoRR abs/2206.06929 (2022) - [i31]Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert:
Regression as Classification: Influence of Task Formulation on Neural Network Features. CoRR abs/2211.05641 (2022) - 2021
- [c47]Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert:
Differentiable Divergences Between Time Series. AISTATS 2021: 3853-3861 - [c46]Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau:
Framing RNN as a kernel method: A neural ODE approach. NeurIPS 2021: 3121-3134 - [c45]Vincent Mallet, Jean-Philippe Vert:
Reverse-Complement Equivariant Networks for DNA Sequences. NeurIPS 2021: 13511-13523 - [i30]Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert:
Efficient and Modular Implicit Differentiation. CoRR abs/2105.15183 (2021) - [i29]Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau:
Framing RNN as a kernel method: A neural ODE approach. CoRR abs/2106.01202 (2021) - 2020
- [j43]Pierre-Cyril Aubin-Frankowski, Jean-Philippe Vert:
Gene regulation inference from single-cell RNA-seq data with linear differential equations and velocity inference. Bioinform. 36(18): 4774-4780 (2020) - [c44]Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert:
Supervised Quantile Normalization for Low Rank Matrix Factorization. ICML 2020: 2269-2279 - [c43]Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach:
Learning with Differentiable Pertubed Optimizers. NeurIPS 2020 - [i28]Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert:
Supervised Quantile Normalization for Low-rank Matrix Approximation. CoRR abs/2002.03229 (2020) - [i27]Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach:
Learning with Differentiable Perturbed Optimizers. CoRR abs/2002.08676 (2020) - [i26]Imke Mayer, Julie Josse, Félix Raimundo, Jean-Philippe Vert:
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models. CoRR abs/2002.10837 (2020) - [i25]Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design. CoRR abs/2004.12508 (2020) - [i24]Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert:
On Mixup Regularization. CoRR abs/2006.06049 (2020) - [i23]Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert:
Differentiable Divergences Between Time Series. CoRR abs/2010.08354 (2020)
2010 – 2019
- 2019
- [j42]Romain Menegaux, Jean-Philippe Vert:
Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics. J. Comput. Biol. 26(6): 509-518 (2019) - [j41]Olivier Collier, Véronique Stoven, Jean-Philippe Vert:
LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes. PLoS Comput. Biol. 15(9) (2019) - [c42]Lotfi Slim, Clément Chatelain, Chloé-Agathe Azencott, Jean-Philippe Vert:
kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection. ICML 2019: 5857-5865 - [c41]Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Differentiable Ranking and Sorting using Optimal Transport. NeurIPS 2019: 6858-6868 - [c40]Jie Liu, Yuanhao Huang, Ritambhara Singh, Jean-Philippe Vert, William Stafford Noble:
Jointly Embedding Multiple Single-Cell Omics Measurements. WABI 2019: 10:1-10:13 - [c39]Alexandra Gesine Cauer, Gürkan Yardimci, Jean-Philippe Vert, Nelle Varoquaux, William Stafford Noble:
Inferring Diploid 3D Chromatin Structures from Hi-C Data. WABI 2019: 11:1-11:13 - [i22]Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator. CoRR abs/1905.11885 (2019) - [i21]Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi, Lucas Beyer, Jean-Philippe Vert:
Deep multi-class learning from label proportions. CoRR abs/1905.12909 (2019) - [i20]Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert:
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks. CoRR abs/1909.09819 (2019) - [i19]Aude Genevay, Gabriel Dulac-Arnold, Jean-Philippe Vert:
Differentiable Deep Clustering with Cluster Size Constraints. CoRR abs/1910.09036 (2019) - 2018
- [j40]Peiying Ruan, Morihiro Hayashida, Tatsuya Akutsu, Jean-Philippe Vert:
Improving prediction of heterodimeric protein complexes using combination with pairwise kernel. BMC Bioinform. 19-S(1): 73-84 (2018) - [j39]Nicolas Servant, Nelle Varoquaux, Edith Heard, Emmanuel Barillot, Jean-Philippe Vert:
Effective normalization for copy number variation in Hi-C data. BMC Bioinform. 19(1): 313:1-313:16 (2018) - [j38]Yunlong Jiao, Jean-Philippe Vert:
The Kendall and Mallows Kernels for Permutations. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1755-1769 (2018) - [c38]Yunlong Jiao, Jean-Philippe Vert:
The Weighted Kendall and High-order Kernels for Permutations. ICML 2018: 2319-2327 - [c37]Marine Le Morvan, Jean-Philippe Vert:
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models. ICML 2018: 3632-3641 - [c36]Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert:
Relating Leverage Scores and Density using Regularized Christoffel Functions. NeurIPS 2018: 1670-1679 - [i18]Marine Le Morvan, Jean-Philippe Vert:
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models. CoRR abs/1802.05980 (2018) - [i17]Yunlong Jiao, Jean-Philippe Vert:
The Weighted Kendall and High-order Kernels for Permutations. CoRR abs/1802.08526 (2018) - [i16]Beyrem Khalfaoui, Jean-Philippe Vert:
DropLasso: A robust variant of Lasso for single cell RNA-seq data. CoRR abs/1802.09381 (2018) - [i15]Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert:
Relating Leverage Scores and Density using Regularized Christoffel Functions. CoRR abs/1805.07943 (2018) - 2017
- [j37]Marine Le Morvan, Andrei Yu. Zinovyev, Jean-Philippe Vert:
NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis. PLoS Comput. Biol. 13(6) (2017) - [i14]Marine Le Morvan, Jean-Philippe Vert:
Supervised Quantile Normalisation. CoRR abs/1706.00244 (2017) - 2016
- [j36]Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Large-scale machine learning for metagenomics sequence classification. Bioinform. 32(7): 1023-1032 (2016) - 2015
- [j35]Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, Thomas Walter:
A generic methodological framework for studying single cell motility in high-throughput time-lapse data. Bioinform. 31(12): 320-328 (2015) - [j34]Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert:
A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. BMC Bioinform. 16: 262:1-262:10 (2015) - [c35]Yunlong Jiao, Jean-Philippe Vert:
The Kendall and Mallows Kernels for Permutations. ICML 2015: 1935-1944 - [c34]Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, Thomas Walter:
Infering an ontology of single cell motions from high-throughput microscopy data. ISBI 2015: 160-163 - [i13]Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Large-scale Machine Learning for Metagenomics Sequence Classification. CoRR abs/1505.06915 (2015) - [i12]Kevin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data. CoRR abs/1506.07251 (2015) - 2014
- [j33]Toby Dylan Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Olivier Delattre, Wilfrid Richer, Franck Bourdeaut, Miyuki Suguro, Masao Seto, Francis R. Bach, Jean-Philippe Vert:
SegAnnDB: interactive Web-based genomic segmentation. Bioinform. 30(11): 1539-1546 (2014) - [j32]Nelle Varoquaux, Ferhat Ay, William Stafford Noble, Jean-Philippe Vert:
A statistical approach for inferring the 3D structure of the genome. Bioinform. 30(12): 26-33 (2014) - [j31]Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert:
Efficient RNA isoform identification and quantification from RNA-Seq data with network flows. Bioinform. 30(17): 2447-2455 (2014) - [j30]Edouard Pauwels, Christian Lajaunie, Jean-Philippe Vert:
A Bayesian active learning strategy for sequential experimental design in systems biology. BMC Syst. Biol. 8(1): 102:1-102:11 (2014) - [j29]Fantine Mordelet, Jean-Philippe Vert:
A bagging SVM to learn from positive and unlabeled examples. Pattern Recognit. Lett. 37: 201-209 (2014) - [c33]Emile Richard, Guillaume Obozinski, Jean-Philippe Vert:
Tight convex relaxations for sparse matrix factorization. NIPS 2014: 3284-3292 - [c32]Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
On Learning Matrices with Orthogonal Columns or Disjoint Supports. ECML/PKDD (3) 2014: 274-289 - [i11]Emile Richard, Guillaume Obozinski, Jean-Philippe Vert:
Tight convex relaxations for sparse matrix factorization. CoRR abs/1407.5158 (2014) - 2013
- [j28]Yang Zhao, Takeyuki Tamura, Tatsuya Akutsu, Jean-Philippe Vert:
Flux balance impact degree: a new definition of impact degree to properly treat reversible reactions in metabolic networks. Bioinform. 29(17): 2178-2185 (2013) - [j27]Toby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Valentina Boeva, Julie Cappo, Olivier Delattre, Francis R. Bach, Jean-Philippe Vert:
Learning smoothing models of copy number profiles using breakpoint annotations. BMC Bioinform. 14: 164 (2013) - [c31]Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis R. Bach:
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression. ICML (3) 2013: 172-180 - [c30]Emile Richard, Francis R. Bach, Jean-Philippe Vert:
Intersecting singularities for multi-structured estimation. ICML (3) 2013: 1157-1165 - 2012
- [j26]Anne-Claire Haury, Fantine Mordelet, Paola Vera-Licona, Jean-Philippe Vert:
TIGRESS: Trustful Inference of Gene REgulation using Stability Selection. BMC Syst. Biol. 6: 145 (2012) - 2011
- [j25]Valentina Boeva, Andrei Yu. Zinovyev, Kevin Bleakley, Jean-Philippe Vert, Isabelle Janoueix-Lerosey, Olivier Delattre, Emmanuel Barillot:
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization. Bioinform. 27(2): 268-269 (2011) - [j24]Fantine Mordelet, Jean-Philippe Vert:
ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples. BMC Bioinform. 12: 389 (2011) - [c29]Tomoko Matsui, Masataka Goto, Jean-Philippe Vert, Yuji Uchiyama:
Gradient-based musical feature extraction based on scale-invariant feature transform. EUSIPCO 2011: 724-728 - [c28]Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin:
Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML 2011: 745-752 - [i10]Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert:
Group Lasso with Overlaps: the Latent Group Lasso approach. CoRR abs/1110.0413 (2011) - 2010
- [j23]Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert, Véronique Stoven:
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction. BMC Bioinform. 11: 99 (2010) - [j22]Martial Hue, Michael Riffle, Jean-Philippe Vert, William Stafford Noble:
Large-scale prediction of protein-protein interactions from structures. BMC Bioinform. 11: 144 (2010) - [c27]Martial Hue, Jean-Philippe Vert:
On learning with kernels for unordered pairs. ICML 2010: 463-470 - [c26]Jean-Philippe Vert, Kevin Bleakley:
Fast detection of multiple change-points shared by many signals using group LARS. NIPS 2010: 2343-2351 - [c25]Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Many-to-Many Graph Matching: A Continuous Relaxation Approach. ECML/PKDD (3) 2010: 515-530 - [i9]Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Many-to-Many Graph Matching: a Continuous Relaxation Approach. CoRR abs/1004.4965 (2010)
2000 – 2009
- 2009
- [j21]Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Global alignment of protein-protein interaction networks by graph matching methods. Bioinform. 25(12) (2009) - [j20]Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert:
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J. Mach. Learn. Res. 10: 803-826 (2009) - [j19]Pierre Mahé, Jean-Philippe Vert:
Graph kernels based on tree patterns for molecules. Mach. Learn. 75(1): 3-35 (2009) - [j18]Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
A Path Following Algorithm for the Graph Matching Problem. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2227-2242 (2009) - [c24]Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh, Yuji Uchiyama:
High-level feature extraction using SVM with walk-based graph kernel. ICASSP 2009: 1121-1124 - [c23]Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert:
Group lasso with overlap and graph lasso. ICML 2009: 433-440 - [c22]Marco Cuturi, Jean-Philippe Vert, Alexandre d'Aspremont:
White Functionals for Anomaly Detection in Dynamical Systems. NIPS 2009: 432-440 - 2008
- [j17]Laurent Jacob, Jean-Philippe Vert:
Efficient peptide-MHC-I binding prediction for alleles with few known binders. Bioinform. 24(3): 358-366 (2008) - [j16]Laurent Jacob, Jean-Philippe Vert:
Protein-ligand interaction prediction: an improved chemogenomics approach. Bioinform. 24(19): 2149-2156 (2008) - [j15]Laurent Jacob, Brice Hoffmann, Véronique Stoven, Jean-Philippe Vert:
Virtual screening of GPCRs: An in silico chemogenomics approach. BMC Bioinform. 9 (2008) - [j14]Jacob D. Abernethy, Theodoros Evgeniou, Olivier Toubia, Jean-Philippe Vert:
Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires. IEEE Trans. Knowl. Data Eng. 20(2): 145-155 (2008) - [c21]Fantine Mordelet, Jean-Philippe Vert:
SIRENE: supervised inference of regulatory networks. ECCB 2008: 76-82 - [c20]Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
A Path Following Algorithm for Graph Matching. ICISP 2008: 329-337 - [c19]Franck Rapaport, Emmanuel Barillot, Jean-Philippe Vert:
Classification of arrayCGH data using fused SVM. ISMB 2008: 375-382 - [c18]Laurent Jacob, Francis R. Bach, Jean-Philippe Vert:
Clustered Multi-Task Learning: A Convex Formulation. NIPS 2008: 745-752 - [c17]Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh, Yuji Uchiyama:
ISM TRECVID2008 High-level Feature Extraction. TRECVID 2008 - [i8]Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Path following algorithm for the graph matching problem. CoRR abs/0801.3654 (2008) - [i7]Jean-Philippe Vert:
The optimal assignment kernel is not positive definite. CoRR abs/0801.4061 (2008) - [i6]Francis R. Bach, Jacob D. Abernethy, Jean-Philippe Vert, Theodoros Evgeniou:
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. CoRR abs/0802.1430 (2008) - [i5]Laurent Jacob, Francis R. Bach, Jean-Philippe Vert:
Clustered Multi-Task Learning: A Convex Formulation. CoRR abs/0809.2085 (2008) - 2007
- [j13]Jian Qiu, Martial Hue, Asa Ben-Hur, Jean-Philippe Vert, William Stafford Noble:
A structural alignment kernel for protein structures. Bioinform. 23(9): 1090-1098 (2007) - [j12]Yoshihiro Yamanishi, Francis R. Bach, Jean-Philippe Vert:
Glycan classification with tree kernels. Bioinform. 23(10): 1211-1216 (2007) - [j11]Franck Rapaport, Andrei Yu. Zinovyev, Marie Dutreix, Emmanuel Barillot, Jean-Philippe Vert:
Classification of microarray data using gene networks. BMC Bioinform. 8 (2007) - [j10]Jean-Philippe Vert, Jian Qiu, William Stafford Noble:
A new pairwise kernel for biological network inference with support vector machines. BMC Bioinform. 8(S-10) (2007) - [c16]Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui:
A Kernel for Time Series Based on Global Alignments. ICASSP (2) 2007: 413-416 - [c15]Kevin Bleakley, Gérard Biau, Jean-Philippe Vert:
Supervised reconstruction of biological networks with local models. ISMB/ECCB (Supplement of Bioinformatics) 2007: 57-65 - [i4]Pierre Mahé, Jean-Philippe Vert:
Virtual screening with support vector machines and structure kernels. CoRR abs/0708.0171 (2007) - 2006
- [j9]Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu:
Optimizing amino acid substitution matrices with a local alignment kernel. BMC Bioinform. 7: 246 (2006) - [j8]Jean-Philippe Vert, Nicolas Foveau, Christian Lajaunie, Yves Vandenbrouck:
An accurate and interpretable model for siRNA efficacy prediction. BMC Bioinform. 7: 520 (2006) - [j7]Pierre Mahé, Liva Ralaivola, Véronique Stoven, Jean-Philippe Vert:
The Pharmacophore Kernel for Virtual Screening with Support Vector Machines. J. Chem. Inf. Model. 46(5): 2003-2014 (2006) - [j6]Régis Vert, Jean-Philippe Vert:
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms. J. Mach. Learn. Res. 7: 817-854 (2006) - [c14]Jean-Philippe Vert:
Classification of Biological Sequences with Kernel Methods. ICGI 2006: 7-18 - [i3]Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui:
A kernel for time series based on global alignments. CoRR abs/cs/0610033 (2006) - [i2]Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert:
Low-rank matrix factorization with attributes. CoRR abs/cs/0611124 (2006) - [i1]Jean-Philippe Vert, Jian Qiu, William Stafford Noble:
Metric learning pairwise kernel for graph inference. CoRR abs/q-bio/0610040 (2006) - 2005
- [j5]Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert:
Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines. J. Chem. Inf. Model. 45(4): 939-951 (2005) - [j4]Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert:
Semigroup Kernels on Measures. J. Mach. Learn. Res. 6: 1169-1198 (2005) - [j3]Marco Cuturi, Jean-Philippe Vert:
The context-tree kernel for strings. Neural Networks 18(8): 1111-1123 (2005) - [c13]Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa:
Supervised enzyme network inference from the integration of genomic data and chemical information. ISMB (Supplement of Bioinformatics) 2005: 468-477 - [c12]Jean-Philippe Vert, Robert E. Thurman, William Stafford Noble:
Kernels for gene regulatory regions. NIPS 2005: 1401-1408 - [c11]Régis Vert, Jean-Philippe Vert:
Consistency of one-class SVM and related algorithms. NIPS 2005: 1409-1416 - 2004
- [j2]Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu:
Protein homology detection using string alignment kernels. Bioinform. 20(11): 1682-1689 (2004) - [c10]Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert:
Extensions of marginalized graph kernels. ICML 2004 - [c9]Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa:
Protein network inference from multiple genomic data: a supervised approach. ISMB/ECCB (Supplement of Bioinformatics) 2004: 363-370 - [c8]Marco Cuturi, Jean-Philippe Vert:
Semigroup Kernels on Finite Sets. NIPS 2004: 329-336 - [c7]Jean-Philippe Vert, Yoshihiro Yamanishi:
Supervised Graph Inference. NIPS 2004: 1433-1440 - 2003
- [c6]Jean-Philippe Vert, Minoru Kanehisa:
Extracting active pathways from gene expression data. ECCB 2003: 238-244 - [c5]Yoshihiro Yamanishi, Jean-Philippe Vert, Akihiro Nakaya, Minoru Kanehisa:
Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis. ISMB (Supplement of Bioinformatics) 2003: 323-330 - 2002
- [c4]Jean-Philippe Vert:
A tree kernel to analyse phylogenetic profiles. ISMB 2002: 276-284 - [c3]Jean-Philippe Vert, Minoru Kanehisa:
Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA. NIPS 2002: 1425-1432 - [c2]Jean-Philippe Vert:
Support Vector Machine Prediction of Signal Peptide Cleavage Site Using a New Class of Kernels for Strings. Pacific Symposium on Biocomputing 2002: 649-660 - 2001
- [j1]Jean-Philippe Vert:
Adaptive context trees and text clustering. IEEE Trans. Inf. Theory 47(5): 1884-1901 (2001) - [c1]Jean-Philippe Vert:
Text Categorization Using Adaptive Context Trees. CICLing 2001: 423-436
Coauthor Index
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