Juho Rousu
11 papers · 2005–2024 · 5 venues · across top CS/AI venues
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multi-label classification
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dynamic programming
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graph prediction
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optimal transport
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image reconstruction
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text classification
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gaussian process regression
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semidefinite programming
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labeled graphs
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non-stationary modeling
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least squares regression
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Papers
MassSpecGym: A benchmark for the discovery and identification of molecules
NeurIPS 2024
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
ICML 2022
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
JMLR 2022
Large-Scale Sparse Kernel Canonical Correlation Analysis
ICML 2019
Magnitude-Preserving Ranking for Structured Outputs
ACML 2017
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
AISTATS 2016
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
NeurIPS 2014
Structured Prediction of Network Response
ICML 2014
Multilabel Classification through Random Graph Ensembles
ACML 2013
Kernel-Based Learning of Hierarchical Multilabel Classification Models
JMLR 2006
Efficient Computation of Gapped Substring Kernels on Large Alphabets
JMLR 2005