50 results on '"Jean-Philippe Vert"'
Search Results
2. Semi-supervised Single-Cell Cross-modality Translation Using Polarbear.
3. Reverse-Complement Equivariant Networks for DNA Sequences.
4. Framing RNN as a kernel method: A neural ODE approach.
5. Differentiable Divergences Between Time Series.
6. Efficient and Modular Implicit Differentiation.
7. Supervised Quantile Normalization for Low Rank Matrix Factorization.
8. Differentiable Ranking and Sorting using Optimal Transport.
9. kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection.
10. Inferring Diploid 3D Chromatin Structures from Hi-C Data.
11. Jointly Embedding Multiple Single-Cell Omics Measurements.
12. Learning with Differentiable Pertubed Optimizers.
13. Relating Leverage Scores and Density using Regularized Christoffel Functions.
14. The Weighted Kendall and High-order Kernels for Permutations.
15. WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models.
16. Infering an ontology of single cell motions from high-throughput microscopy data.
17. The Kendall and Mallows Kernels for Permutations.
18. Tight convex relaxations for sparse matrix factorization.
19. On Learning Matrices with Orthogonal Columns or Disjoint Supports.
20. Intersecting singularities for multi-structured estimation.
21. Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression.
22. Gradient-based musical feature extraction based on scale-invariant feature transform.
23. Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties.
24. Fast detection of multiple change-points shared by many signals using group LARS.
25. Many-to-Many Graph Matching: A Continuous Relaxation Approach.
26. On learning with kernels for unordered pairs.
27. White Functionals for Anomaly Detection in Dynamical Systems.
28. High-level feature extraction using SVM with walk-based graph kernel.
29. Group lasso with overlap and graph lasso.
30. A Path Following Algorithm for Graph Matching.
31. Clustered Multi-Task Learning: A Convex Formulation.
32. Classification of arrayCGH data using fused SVM.
33. SIRENE: supervised inference of regulatory networks.
34. A Kernel for Time Series Based on Global Alignments.
35. Supervised reconstruction of biological networks with local models.
36. Classification of Biological Sequences with Kernel Methods.
37. Kernels for gene regulatory regions.
38. Consistency of one-class SVM and related algorithms.
39. Supervised enzyme network inference from the integration of genomic data and chemical information.
40. Semigroup Kernels on Finite Sets.
41. Supervised Graph Inference.
42. Protein network inference from multiple genomic data: a supervised approach.
43. Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis.
44. Extracting active pathways from gene expression data.
45. Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA.
46. Support Vector Machine Prediction of Signal Peptide Cleavage Site Using a New Class of Kernels for Strings.
47. A tree kernel to analyse phylogenetic profiles.
48. Text Categorization Using Adaptive Context Trees.
49. ISM TRECVID2008 High-level Feature Extraction.
50. Extensions of marginalized graph kernels.
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